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The rapid development of Large Language Models (LLMs) demonstrates remarkable multilingual capabilities in natural language processing, attracting global attention in both academia and industry.
Context-aware sentence/passage term importance estimation for first stage retrieval, 2019
Zhuyun Dai and Jamie Callan · 1910
Earlier work this paper cites.
Unsupervised cross-lingual representation learning at scale, 2020b
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 1911
Earlier work this paper cites.
Cross-lingual relevance transfer for document retrieval, 2019
Peng Shi and Jimmy Lin · 1911
Earlier work this paper cites.
Back-translation for cross-cultural research
Richard W Brislin · 1970
Earlier work this paper cites.
Cognitive load during problem solving: Effects on learning
John Sweller · 1988
Earlier work this paper cites.
2.1 multilingual information retrieval
Christian Fluhr, Robert E Frederking, Doug Oard, Akitoshi Okumura, Kai Ishikawa, and Kenji Satoh · 1995
Earlier work this paper cites.
Querying across languages: A dictionary-based approach to multilingual information retrieval
David A Hull and Gregory Grefenstette · 1996
Earlier work this paper cites.
Cross-language information retrieval
Douglas W Oard and Anne R Diekema · 1998
Earlier work this paper cites.
Cross-language information retrieval based on parallel texts and automatic mining of parallel texts from the web
Jian-Yun Nie, Michel Simard, Pierre Isabelle, and Richard Durand · 1999
Earlier work this paper cites.
English and the discourses of colonialism
Alastair Pennycook · 2002
Earlier work this paper cites.
Monolingual document retrieval for european languages
Vera Hollink, Jaap Kamps, Christof Monz, and Maarten De Rijke · 2004
Earlier work this paper cites.
Cross-lingual query suggestion using query logs of different languages
Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Jian Hu, Kam-Fai Wong, and Hsiao-Wuen Hon · 2007
Earlier work this paper cites.
Introduction to Information Retrieval
Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze · 2008
Earlier work this paper cites.
Testing a collaborative ddos defense in a red team/blue team exercise
Jelena Mirkovic, Peter Reiher, Christos Papadopoulos, Alefiya Hussain, Marla Shepard, Michael Berg, and Robert Jung · 2008
Earlier work this paper cites.
The probabilistic relevance framework: BM25 and beyond
Stephen Robertson and Hugo Zaragoza · 2009
Earlier work this paper cites.
Rules and norms: Requirements for rule interchange languages in the legal domain
Thomas F Gordon, Guido Governatori, and Antonino Rotolo · 2009
Earlier work this paper cites.
Cognitive load theory
John Sweller · 2011
Earlier work this paper cites.
Cultural bias in wikipedia content on famous persons
Ewa S Callahan and Susan C Herring · 2011
Earlier work this paper cites.
WIT3: Web inventory of transcribed and translated talks
Mauro Cettolo, Christian Girardi, and Marcello Federico · 2012
Earlier work this paper cites.
Cross-language information retrieval
Gregory Grefenstette · 2012
Earlier work this paper cites.
Multilingual information retrieval: From research to practice
Carol Peters, Martin Braschler, and Paul Clough · 2012
Earlier work this paper cites.
Translation techniques in cross-language information retrieval
Dong Zhou, Mark Truran, Tim Brailsford, Vincent Wade, and Helen Ashman · 2012
Earlier work this paper cites.
Opensubtitles2016: Extracting large parallel corpora from movie and tv subtitles, 2016
Pierre Lison and Jörg Tiedemann · 2016
Earlier work this paper cites.
Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang · 2016
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al · 2017
Earlier work this paper cites.
Overview of the IWSLT 2017 evaluation campaign
Mauro Cettolo, Marcello Federico, Luisa Bentivogli, Jan Niehues, Sebastian Stüker, Katsuhito Sudoh, Koichiro Yoshino, and Christian Federmann · 2017
Earlier work this paper cites.
Cross-lingual name tagging and linking for 282 languages
Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, and Heng Ji · 2017
Earlier work this paper cites.
Google’s multilingual neural machine translation system: Enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc V Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, et al · 2017
Earlier work this paper cites.
Multi-way, multilingual neural machine translation
Orhan Firat, Kyunghyun Cho, Baskaran Sankaran, Fatos T Yarman Vural, and Yoshua Bengio · 2017
Earlier work this paper cites.
Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli-Barone, Barry Haddow, Ulrich Germann, and Rico Sennrich · 2017
Earlier work this paper cites.
Xnli: Evaluating cross-lingual sentence representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel Bowman, Holger Schwenk, and Veselin Stoyanov · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training, 2018
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
Earlier work this paper cites.
Towards multilingual neural question answering
Ekaterina Loginova, Stalin Varanasi, and Günter Neumann · 2018
Earlier work this paper cites.
English and colonialism
Edgar W Schneider · 2018
Earlier work this paper cites.
Style transfer through back-translation
Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, and Alan W Black · 2018
Earlier work this paper cites.
Iterative back-translation for neural machine translation
Vu Cong Duy Hoang, Philipp Koehn, Gholamreza Haffari, and Trevor Cohn · 2018
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2019
Earlier work this paper cites.
Massively multilingual transfer for NER
Afshin Rahimi, Yuan Li, and Trevor Cohn · 2019
Earlier work this paper cites.
Two new evaluation datasets for low-resource machine translation: Nepali-english and sinhala-english
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, and Marc’Aurelio Ranzato · 2019
Earlier work this paper cites.
PAWS-X: A cross-lingual adversarial dataset for paraphrase identification
Yinfei Yang, Yuan Zhang, Chris Tar, and Jason Baldridge · 2019
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Earlier work this paper cites.
Cross-lingual language model pretraining
Alexis Conneau and Guillaume Lample · 2019
Earlier work this paper cites.
Massively multilingual neural machine translation
Roee Aharoni, Melvin Johnson, and Orhan Firat · 2019
Earlier work this paper cites.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Earlier work this paper cites.
Massively multilingual neural machine translation in the wild: Findings and challenges
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George Foster, Colin Cherry, et al · 2019
Earlier work this paper cites.
Exploiting multilingualism through multistage fine-tuning for low-resource neural machine translation
Raj Dabre, Atsushi Fujita, and Chenhui Chu · 2019
Earlier work this paper cites.
Simple, scalable adaptation for neural machine translation
Ankur Bapna and Orhan Firat · 2019
Earlier work this paper cites.
A review on the application of deep learning in legal domain
Neha Bansal, Arun Sharma, and RK Singh · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Earlier work this paper cites.
mt5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel · 2020
Earlier work this paper cites.
The multilingual amazon reviews corpus
Phillip Keung, Yichao Lu, György Szarvas, and Noah A. Smith · 2020
Earlier work this paper cites.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 2020
Earlier work this paper cites.
CCNet: Extracting high quality monolingual datasets from web crawl data
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, and Edouard Grave · 2020
Earlier work this paper cites.
ParaPat: The multi-million sentences parallel corpus of patents abstracts
Felipe Soares, Mark Stevenson, Diego Bartolome, and Anna Zaretskaya · 2020
Earlier work this paper cites.
Universal Dependencies v2: An evergrowing multilingual treebank collection
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, and Daniel Zeman · 2020
Earlier work this paper cites.
Exams: A multi-subject high school examinations dataset for cross-lingual and multilingual question answering, 2020
Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, and Preslav Nakov · 2020
Earlier work this paper cites.
Improving massively multilingual neural machine translation and zero-shot translation
Biao Zhang, Philip Williams, Ivan Titov, and Rico Sennrich · 2020
Earlier work this paper cites.
The tatoeba translation challenge – realistic data sets for low resource and multilingual MT
Jörg Tiedemann · 2020
Earlier work this paper cites.
Tydi qa: A benchmark for information-seeking question answering in ty pologically di verse languages
Jonathan H Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, and Jennimaria Palomaki · 2020
Earlier work this paper cites.
XCOPA: A multilingual dataset for causal commonsense reasoning
Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, Qianchu Liu, Ivan Vulić, and Anna Korhonen · 2020
Earlier work this paper cites.
Xglue: A new benchmark dataset for cross-lingual pre-training, understanding and generation, 2020
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, and Ming Zhou · 2020
Earlier work this paper cites.
On the cross-lingual transferability of monolingual representations
Mikel Artetxe, Sebastian Ruder, and Dani Yogatama · 2020
Earlier work this paper cites.
Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalization, 2020
Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, and Melvin Johnson · 2020
Earlier work this paper cites.
On the sentence embeddings from pre-trained language models
Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, and Lei Li · 2020
Earlier work this paper cites.
Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
Earlier work this paper cites.
Xuan Ouyang, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu, and Haifeng Wang · 2020
Earlier work this paper cites.
A survey of multilingual neural machine translation
Raj Dabre, Chenhui Chu, and Anoop Kunchukuttan · 2020
Earlier work this paper cites.
Balancing training for multilingual neural machine translation
Xinyi Wang, Yulia Tsvetkov, and Graham Neubig · 2020
Earlier work this paper cites.
Bridging linguistic typology and multilingual machine translation with multi-view language representations
Arturo Oncevay, Barry Haddow, and Alexandra Birch · 2020
Earlier work this paper cites.
Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan · 2020
Earlier work this paper cites.
Commonsense reasoning for natural language processing
Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, and Dan Roth · 2020
Earlier work this paper cites.
Lince: A centralized benchmark for linguistic code-switching evaluation
Gustavo Aguilar, Sudipta Kar, and Thamar Solorio · 2020
Earlier work this paper cites.
Low-resource languages: A review of past work and future challenges
Alexandre Magueresse, Vincent Carles, and Evan Heetderks · 2020
Earlier work this paper cites.
CCAligned: A massive collection of cross-lingual web-document pairs
Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, and Philipp Koehn · 2020
Earlier work this paper cites.
Colbert: Efficient and effective passage search via contextualized late interaction over bert
Omar Khattab and Matei Zaharia · 2020
Earlier work this paper cites.
Teaching a new dog old tricks: Resurrecting multilingual retrieval using zero-shot learning
Sean MacAvaney, Luca Soldaini, and Nazli Goharian · 2020
Earlier work this paper cites.
Cross-lingual training of neural models for document ranking
Peng Shi, He Bai, and Jimmy Lin · 2020
Earlier work this paper cites.
Legal-bert: The muppets straight out of law school
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos · 2020
Earlier work this paper cites.
A summary of the coliee 2019 competition
Juliano Rabelo, Mi-Young Kim, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano, and Ken Satoh · 2020
Earlier work this paper cites.
Languages of the World
Asya Pereltsvaig · 2020
Earlier work this paper cites.
The state and fate of linguistic diversity and inclusion in the NLP world
Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, and Monojit Choudhury · 2020
Earlier work this paper cites.
Language ID in the wild: Unexpected challenges on the path to a thousand-language web text corpus
Isaac Caswell, Theresa Breiner, Daan van Esch, and Ankur Bapna · 2020
Earlier work this paper cites.
LAReQA: Language-agnostic answer retrieval from a multilingual pool
Uma Roy, Noah Constant, Rami Al-Rfou, Aditya Barua, Aaron Phillips, and Yinfei Yang · 2020
Earlier work this paper cites.
The pile: An 800gb dataset of diverse text for language modeling
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, et al · 2020
Earlier work this paper cites.
Social biases in nlp models as barriers for persons with disabilities
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl · 2020
Earlier work this paper cites.
Gender bias in multilingual embeddings and cross-lingual transfer
Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, and Ahmed Hassan Awadallah · 2020
Earlier work this paper cites.
Finbert: A pre-trained financial language representation model for financial text mining
Zhuang Liu, Degen Huang, Kaiyu Huang, Zhuang Li, and Jun Zhao · 2021
Earlier work this paper cites.
Scaling language models: Methods, analysis & insights from training gopher
Jack W Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, et al · 2021
Earlier work this paper cites.
XTREME-R: Towards more challenging and nuanced multilingual evaluation
Sebastian Ruder, Noah Constant, Jan Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, and Melvin Johnson · 2021
Earlier work this paper cites.
Multilingual and cross-lingual intent detection from spoken data
Daniela Gerz, Pei-Hao Su, Razvan Kusztos, Avishek Mondal, Michal Lis, Eshan Singhal, Nikola Mrksic, Tsung-Hsien Wen, and Ivan Vulic · 2021
Earlier work this paper cites.
MFAQ: a multilingual FAQ dataset
Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, and Walter Daelemans · 2021
Earlier work this paper cites.
Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, and Marc Najork · 2021
Earlier work this paper cites.
MultiEURLEX - a multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
Ilias Chalkidis, Manos Fergadiotis, and Ion Androutsopoulos · 2021
Earlier work this paper cites.
Multilingual entity and relation extraction dataset and model
Alessandro Seganti, Klaudia Firląg, Helena Skowronska, Michał Satława, and Piotr Andruszkiewicz · 2021
Earlier work this paper cites.
Machine translated multilingual sts benchmark dataset., 2021
Philip May · 2021
Earlier work this paper cites.
Xl-sum: Large-scale multilingual abstractive summarization for 44 languages, 2021
Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam, Kazi Samin, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, and Rifat Shahriyar · 2021
Earlier work this paper cites.
XTREME-R: Towards more challenging and nuanced multilingual evaluation
Sebastian Ruder, Noah Constant, Jan Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, and Melvin Johnson · 2021
Earlier work this paper cites.
It’s All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning
Alexey Tikhonov and Max Ryabinin · 2021
Earlier work this paper cites.
Common sense beyond English: Evaluating and improving multilingual language models for commonsense reasoning
Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, and Xiang Ren · 2021
Earlier work this paper cites.
From bilingual to multilingual neural-based machine translation by incremental training
Carlos Escolano, Marta R Costa-Jussà, and José AR Fonollosa · 2021
Earlier work this paper cites.
Towards end-to-end multilingual question answering
Ekaterina Loginova, Stalin Varanasi, and Günter Neumann · 2021
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Multi-domain multilingual question answering
Sebastian Ruder and Avirup Sil · 2021
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Towards continual learning for multilingual machine translation via vocabulary substitution
Xavier Garcia, Noah Constant, Ankur Parikh, and Orhan Firat · 2021
Earlier work this paper cites.
How to adapt your pretrained multilingual model to 1600 languages
Abteen Ebrahimi and Katharina Kann · 2021
Earlier work this paper cites.
Docnli: A large-scale dataset for document-level natural language inference
Wenpeng Yin, Dragomir Radev, and Caiming Xiong · 2021
Earlier work this paper cites.
Uncertainty-aware balancing for multilingual and multi-domain neural machine translation training
Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, and Qun Liu · 2021
Earlier work this paper cites.
Multilingual agreement for multilingual neural machine translation
Jian Yang, Yuwei Yin, Shuming Ma, Haoyang Huang, Dongdong Zhang, Zhoujun Li, and Furu Wei · 2021
Earlier work this paper cites.
Contrastive learning for many-to-many multilingual neural machine translation
Xiao Pan, Mingxuan Wang, Liwei Wu, and Lei Li · 2021
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Gupshup: Summarizing open-domain code-switched conversations
Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle G Lee, Anish Acharya, and Rajiv Shah · 2021
Earlier work this paper cites.
A survey of code-switching: Linguistic and social perspectives for language technologies
A Seza Doğruöz, Sunayana Sitaram, Barbara Bullock, and Almeida Jacqueline Toribio · 2021
Earlier work this paper cites.
Are multilingual models effective in code-switching?
Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto, and Pascale Fung · 2021
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Beyond english-centric multilingual machine translation
Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, et al · 2021
Earlier work this paper cites.
Unsupervised dense information retrieval with contrastive learning, 2021
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, and Edouard Grave · 2021
Earlier work this paper cites.
CCMatrix: Mining billions of high-quality parallel sentences on the web
Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin, and Angela Fan · 2021
Earlier work this paper cites.
Jimmy Lin and Xueguang Ma · 2021
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Mr. TyDi: A multi-lingual benchmark for dense retrieval
Xinyu Zhang, Xueguang Ma, Peng Shi, and Jimmy Lin · 2021
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COIL: Revisit exact lexical match in information retrieval with contextualized inverted list
Luyu Gao, Zhuyun Dai, and Jamie Callan · 2021
Cited alongside, same era.
XOR QA: Cross-lingual open-retrieval question answering
Akari Asai, Jungo Kasai, Jonathan Clark, Kenton Lee, Eunsol Choi, and Hannaneh Hajishirzi · 2021
Cited alongside, same era.
From theory to practice: the application of cognitive load theory to the practice of medicine
Adam Szulewski, Daniel Howes, Jeroen JG van Merriënboer, and John Sweller · 2021
Cited alongside, same era.
Documenting large webtext corpora: A case study on the colossal clean crawled corpus
Jesse Dodge, Maarten Sap, Ana Marasović, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, and Matt Gardner · 2021
Cited alongside, same era.
Stereoset: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, and Siva Reddy · 2021
Cited alongside, same era.
A survey of knowledge enhanced pre-trained language models
Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, and Juanzi Li · 2023
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A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity
Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, et al · 2023
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Scaling laws for generative mixed-modal language models
Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, and Luke Zettlemoyer · 2023
Later among the works it cites.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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mlongt5: A multilingual and efficient text-to-text transformer for longer sequences
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Cited alongside, same era.
Bloom: A 176b-parameter open-access multilingual language model, 2022
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, et al · 2022
Cited alongside, same era.
Biogpt: generative pre-trained transformer for biomedical text generation and mining
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, and Tie-Yan Liu · 2022
Cited alongside, same era.
Byt5: Towards a token-free future with pre-trained byte-to-byte models
Linting Xue, Aditya Barua, Noah Constant, Rami Al-Rfou, Sharan Narang, Mihir Kale, Adam Roberts, and Colin Raffel · 2022
Cited alongside, same era.
Lamda: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, et al · 2022
Cited alongside, same era.
mgpt: Few-shot learners go multilingual
Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova, Vladislav Mikhailov, Anastasia Kozlova, and Tatiana Shavrina · 2022
Cited alongside, same era.
Few-shot learning with multilingual generative language models
Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, et al · 2022
Cited alongside, same era.
David Uthus, Santiago Ontañón, Joshua Ainslie, and Mandy Guo · 2023
Later among the works it cites.
Xlm-v: Overcoming the vocabulary bottleneck in multilingual masked language models
Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, and Madian Khabsa · 2023
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Unimax: Fairer and more effective language sampling for large-scale multilingual pretraining
Hyung Won Chung, Noah Constant, Xavier Garcia, Adam Roberts, Yi Tay, Sharan Narang, and Orhan Firat · 2023
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Llamantino: Llama 2 models for effective text generation in italian language
Pierpaolo Basile, Elio Musacchio, Marco Polignano, Lucia Siciliani, Giuseppe Fiameni, and Giovanni Semeraro · 2023
Later among the works it cites.
Fingpt: Large generative models for a small language
Risto Luukkonen, Ville Komulainen, Jouni Luoma, Anni Eskelinen, Jenna Kanerva, Hanna-Mari Kristiina Kupari, Filip Ginter, Veronika Laippala, Niklas Muennighoff, Aleksandra Piktus, et al · 2023
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Sabiá: Portuguese large language models
Ramon Pires, Hugo Abonizio, Thales Sales Almeida, and Rodrigo Nogueira · 2023
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Glot500: Scaling multilingual corpora and language models to 500 languages
Ayyoob ImaniGooghari, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André FT Martins, François Yvon, et al · 2023
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Viewing knowledge transfer in multilingual machine translation through a representational lens
David Stap, Vlad Niculae, and Christof Monz · 2023
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Mamba: Linear-time sequence modeling with selective state spaces
Albert Gu and Tri Dao · 2023
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Cross-lingual prompting: Improving zero-shot chain-of-thought reasoning across languages
Libo Qin, Qiguang Chen, Fuxuan Wei, Shijue Huang, and Wanxiang Che · 2023
Later among the works it cites.
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Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, and Mikel Artetxe · 2023
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Faithful chain-of-thought reasoning
Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, and Chris Callison-Burch · 2023
Later among the works it cites.
Improving pretraining techniques for code-switched NLP
Richeek Das, Sahasra Ranjan, Shreya Pathak, and Preethi Jyothi · 2023
Later among the works it cites.
Neural machine translation for low-resource languages: A survey
Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skenduli, Ravi Shekhar, Mehreen Alam, and Rishemjit Kaur · 2023
Later among the works it cites.
Information retrieval meets large language models: A strategic report from chinese ir community
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, and Xiaofei Zhu · 2023
Later among the works it cites.
Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, and Xinyu Zhang · 2023
Later among the works it cites.
Extending english ir methods to multi-lingual ir, 2023
Carlos Lassance · 2023
Later among the works it cites.
Blade: Combining vocabulary pruning and intermediate pretraining for scaleable neural clir
Suraj Nair, Eugene Yang, Dawn Lawrie, James Mayfield, and Douglas W. Oard · 2023
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Manveer Singh Tamber, Ronak Pradeep, and Jimmy Lin · 2023
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Jailbreaking black box large language models in twenty queries
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J Pappas, and Eric Wong · 2023
Later among the works it cites.
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, and Shujian Huang · 2023
Later among the works it cites.
Tree of attacks: Jailbreaking black-box llms automatically
Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, and Amin Karbasi · 2023
Later among the works it cites.
Red-teaming large language models using chain of utterances for safety-alignment
Rishabh Bhardwaj and Soujanya Poria · 2023
Later among the works it cites.
Jailbreak in pieces: Compositional adversarial attacks on multi-modal language models
Erfan Shayegani, Yue Dong, and Nael Abu-Ghazaleh · 2023
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Universal jailbreak backdoors from poisoned human feedback
Javier Rando and Florian Tramèr · 2023
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Fundamental limitations of alignment in large language models
Yotam Wolf, Noam Wies, Yoav Levine, and Amnon Shashua · 2023
Later among the works it cites.
Yuanhe Tian, Ruyi Gan, Yan Song, Jiaxing Zhang, and Yongdong Zhang · 2023
Later among the works it cites.
Doctorglm: Fine-tuning your chinese doctor is not a herculean task
Honglin Xiong, Sheng Wang, Yitao Zhu, Zihao Zhao, Yuxiao Liu, Qian Wang, and Dinggang Shen · 2023
Later among the works it cites.
Disc-lawllm: Fine-tuning large language models for intelligent legal services, 2023
Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, and Zhongyu Wei · 2023
Later among the works it cites.
Educhat: A large-scale language model-based chatbot system for intelligent education
Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, et al · 2023
Later among the works it cites.
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al · 2023
Later among the works it cites.
Medalpaca–an open-source collection of medical conversational ai models and training data
Tianyu Han, Lisa C Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, and Keno K Bressem · 2023
Later among the works it cites.
Chatdoctor: A medical chat model fine-tuned on llama model using medical domain knowledge
Li Yunxiang, Li Zihan, Zhang Kai, Dan Ruilong, and Zhang You · 2023
Later among the works it cites.
Lost in translation: Large language models in non-english content analysis
Gabriel Nicholas and Aliya Bhatia · 2023
Later among the works it cites.
Privacy in the time of language models
Charith Peris, Christophe Dupuy, Jimit Majmudar, Rahil Parikh, Sami Smaili, Richard Zemel, and Rahul Gupta · 2023
Later among the works it cites.
Don’t trust chatgpt when your question is not in english: A study of multilingual abilities and types of llms
Xiang Zhang, Senyu Li, Bradley Hauer, Ning Shi, and Grzegorz Kondrak · 2023
Later among the works it cites.
Should chatgpt be biased? challenges and risks of bias in large language models
Emilio Ferrara · 2023
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Comparing biases and the impact of multilingual training across multiple languages
Sharon Levy, Neha John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, and Dan Roth · 2023
Later among the works it cites.
Evaluating interfaced llm bias
Kai-Ching Yeh, Jou-An Chi, Da-Chen Lian, and Shu-Kai Hsieh · 2023
Later among the works it cites.
“kelly is a warm person, joseph is a role model”: Gender biases in llm-generated reference letters
Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, and Nanyun Peng · 2023
Later among the works it cites.
On evaluating and mitigating gender biases in multilingual settings
Aniket Vashishtha, Kabir Ahuja, and Sunayana Sitaram · 2023
Later among the works it cites.
Investigating bias in multilingual language models: Cross-lingual transfer of debiasing techniques
Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, and Bart Baesens · 2023
Later among the works it cites.
Healai: A healthcare llm for effective medical documentation
Sagar Goyal, Eti Rastogi, Sree Prasanna Rajagopal, Dong Yuan, Fen Zhao, Jai Chintagunta, Gautam Naik, and Jeff Ward · 2024
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Data augmentation using llms: Data perspectives, learning paradigms and challenges
Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, and Shafiq Joty · 2024
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Multilingual large language model: A survey of resources, taxonomy and frontiers
Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, and Philip S Yu · 2024
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Deepseek llm: Scaling open-source language models with longtermism
Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, et al · 2024
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Phi-3 technical report: A highly capable language model locally on your phone
Marah Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, et al · 2024
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The claude 3 model family: Opus, sonnet, haiku
AI Anthropic · 2024
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Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, et al · 2024
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Llama 3 model card, 2024
AI@Meta · 2024
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al · 2024
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Zhipu ai devday glm-4, 2024
ZHIPU · 2024
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Aya model: An instruction finetuned open-access multilingual language model
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Yotam Intrator, Matan Halfon, Roman Goldenberg, Reut Tsarfaty, Matan Eyal, Ehud Rivlin, Yossi Matias, and Natalia Aizenberg · 2024
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xcot: Cross-lingual instruction tuning for cross-lingual chain-of-thought reasoning
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Zero-shot sentiment analysis in low-resource languages using a multilingual sentiment lexicon
Fajri Koto, Tilman Beck, Zeerak Talat, Iryna Gurevych, and Timothy Baldwin · 2024
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Don’t rank, combine! combining machine translation hypotheses using quality estimation
Giorgos Vernikos and Andrei Popescu-Belis · 2024
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Relay decoding: Concatenating large language models for machine translation
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Teaching large language models to translate with comparison
Jiali Zeng, Fandong Meng, Yongjing Yin, and Jie Zhou · 2024
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Exploring human-like translation strategy with large language models
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Leveraging LLMs for synthesizing training data across many languages in multilingual dense retrieval
Nandan Thakur, Jianmo Ni, Gustavo Hernandez Abrego, John Wieting, Jimmy Lin, and Daniel Cer · 2024
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Arctic-embed: Scalable, efficient, and accurate text embedding models, 2024
Luke Merrick, Danmei Xu, Gaurav Nuti, and Daniel Campos · 2024
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https://openai.com/index/new-embedding-models-and-api-updates/
New embedding models and api updates · 2024
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https://blog.voyageai.com/2024/06/10/voyage-multilingual-2-multilingual-embedding-model/
voyage-multilingual-2: Multilingual embedding model · 2024
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Fine-tuning llama for multi-stage text retrieval
Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, and Jimmy Lin · 2024
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Repetition improves language model embeddings, 2024
Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, and Aditi Raghunathan · 2024
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Llm2vec: Large language models are secretly powerful text encoders, 2024
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, and Siva Reddy · 2024
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Matryoshka representation learning, 2024
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, and Ali Farhadi · 2024
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LM-cocktail: Resilient tuning of language models via model merging
Shitao Xiao, Zheng Liu, Peitian Zhang, and Xingrun Xing · 2024
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NLLB-E5: A scalable multilingual retrieval model, 2024
Arkadeep Acharya, Rudra Murthy, Vishwajeet Kumar, and Jaydeep Sen · 2024
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Translate-distill: Learning cross-language dense retrieval by translation and distillation
Eugene Yang, Dawn Lawrie, James Mayfield, Douglas W. Oard, and Scott Miller · 2024
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Antoine Louis, Vageesh Saxena, Gijs van Dijck, and Gerasimos Spanakis · 2024
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M3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation
Jianlyu Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, and Zheng Liu · 2024
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Pal: Proxy-guided black-box attack on large language models, 2024
Chawin Sitawarin, Norman Mu, David Wagner, and Alexandre Araujo · 2024
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Jailbroken: How does llm safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2024
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Masterkey: Automated jailbreaking of large language model chatbots
Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, and Yang Liu · 2024
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Haibo Jin, Ruoxi Chen, Andy Zhou, Jinyin Chen, Yang Zhang, and Haohan Wang · 2024
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The language barrier: Dissecting safety challenges of llms in multilingual contexts, 2024
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Gpt-4 is too smart to be safe: Stealthy chat with llms via cipher, 2024
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen tse Huang, Pinjia He, Shuming Shi, and Zhaopeng Tu · 2024
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Llms can defend themselves against jailbreaking in a practical manner: A vision paper, 2024
Daoyuan Wu, Shuai Wang, Yang Liu, and Ning Liu · 2024
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Biomistral: A collection of open-source pretrained large language models for medical domains
Yanis Labrak, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, and Richard Dufour · 2024
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Agasthya Gangavarapu · 2024
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Medical mt5: An open-source multilingual text-to-text llm for the medical domain
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Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, Joel Niklaus, et al · 2024
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Aya dataset: An open-access collection for multilingual instruction tuning
Shivalika Singh, Freddie Vargus, Daniel D’souza, Börje Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O’Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Moura, Dominik Krzemiński, Hakimeh Fadaei, Irem Ergun, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Vu Chien, Sebastian Ruder, Surya Guthikonda, Emad Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, and Sara Hooker · 2024
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A new massive multilingual dataset for high-performance language technologies, 2024
Ona de Gibert, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer van der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, Mikko Aulamo, Gema Ramírez-Sánchez, Andrey Kutuzov, Sampo Pyysalo, Stephan Oepen, and Jörg Tiedemann · 2024
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Little red riding hood goes around the globe:crosslingual story planning and generation with large language models, 2024
Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, and Shashi Narayan · 2024
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Qiwei Peng, Yekun Chai, and Xuhong Li · 2024
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Megaverse: Benchmarking large language models across languages, modalities, models and tasks, 2024
Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Maxamed Axmed, Kalika Bali, and Sunayana Sitaram · 2024
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Chinese-mixtral-8x7b: An open-source mixture-of-experts llm
HIT-SCIR · 2024
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Introducing bode: A fine-tuned large language model for portuguese prompt-based task
Gabriel Lino Garcia, Pedro Henrique Paiola, Luis Henrique Morelli, Giovani Candido, Arnaldo Cândido Júnior, Danilo Samuel Jodas, Luis Afonso, Ivan Rizzo Guilherme, Bruno Elias Penteado, and João Paulo Papa · 2024
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Roformer: Enhanced transformer with rotary position embedding
Jianlin Su, Murtadha Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu · 2024
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Zero resource code-switched speech benchmark using speech utterance pairs for multiple spoken languages
Kuan-Po Huang, Chih-Kai Yang, Yu-Kuan Fu, Ewan Dunbar, and Hung-yi Lee · 2024
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Large language models for information retrieval: A survey, 2024
Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Haonan Chen, Zheng Liu, Zhicheng Dou, and Ji-Rong Wen · 2024
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Information retrieval meets large language models
Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, and Jian-Yun Nie · 2024
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IndicIRSuite: Multilingual dataset and neural information models for Indian languages
Saiful Haq, Ashutosh Sharma, Omar Khattab, Niyati Chhaya, and Pushpak Bhattacharyya · 2024
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Ciral: A test collection for clir evaluations in african languages
Mofetoluwa Adeyemi, Akintunde Oladipo, Xinyu Zhang, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Boxing Chen, Abdul-Hakeem Omotayo, Idris Abdulmumin, Naome A. Etori, Toyib Babatunde Musa, Samuel Fanijo, Oluwabusayo Olufunke Awoyomi, Saheed Abdullahi Salahudeen, Labaran Adamu Mohammed, Daud Olamide Abolade, Falalu Ibrahim Lawan, Maryam Sabo Abubakar, Ruqayya Nasir Iro, Amina Imam Abubakar, Shafie Abdi Mohamed, Hanad Mohamud Mohamed, Tunde Oluwaseyi Ajayi, and Jimmy Lin · 2024
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Codechameleon: Personalized encryption framework for jailbreaking large language models
Huijie Lv, Xiao Wang, Yuansen Zhang, Caishuang Huang, Shihan Dou, Junjie Ye, Tao Gui, Qi Zhang, and Xuanjing Huang · 2024
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Jailbreak chat
Alex Albert · 2024
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Jailbreakbench: An open robustness benchmark for jailbreaking large language models, 2024
Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramer, Hamed Hassani, and Eric Wong · 2024
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Harmbench: A standardized evaluation framework for automated red teaming and robust refusal
Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, et al · 2024
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Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks
Ling Luo, Jinzhong Ning, Yingwen Zhao, Zhijun Wang, Zeyuan Ding, Peng Chen, Weiru Fu, Qinyu Han, Guangtao Xu, Yunzhi Qiu, et al · 2024
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Saullm-7b: A pioneering large language model for law
Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, Andre FT Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, et al · 2024
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Gpts and language barrier: A cross-lingual legal qa examination
Ha-Thanh Nguyen, Hiroaki Yamada, and Ken Satoh · 2024
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A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Zhibo Sun, and Yue Zhang · 2024
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On protecting the data privacy of large language models (llms): A survey
Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, and Xiuzheng Cheng · 2024
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A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, et al · 2024
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Fineweb, 2024
Guilherme Penedo, Hynek Kydlíček, Leandro von Werra, and Thomas Wolf · 2024
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Dolma: An open corpus of three trillion tokens for language model pretraining research
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, et al · 2024
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Rtp-lx: Can llms evaluate toxicity in multilingual scenarios?
Adrian de Wynter, Ishaan Watts, Nektar Ege Altıntoprak, Tua Wongsangaroonsri, Minghui Zhang, Noura Farra, Lena Baur, Samantha Claudet, Pavel Gajdusek, Can Gören, et al · 2024
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What is your favorite gender, mlm? gender bias evaluation in multilingual masked language models
Jeongrok Yu, Seong Ug Kim, Jacob Choi, and Jinho D Choi · 2024
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Gemma: Open models based on gemini research and technology
Gemma Team, Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, et al · 2024
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When and why are pre-trained word embeddings useful for neural machine translation?
Ye Qi, Devendra Sachan, Matthieu Felix, Sarguna Padmanabhan, and Graham Neubig · 2084
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