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Large Language Models (LLMs) are trained on massive amounts of data, enabling their application across diverse domains and tasks.
Language models are few-shot learners
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Investigating meta-learning algorithms for low-resource natural language understanding tasks
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Bphigh at semeval-2023 task 7: Can fine-tuned cross-encoders outperform gpt-3.5 in nli tasks on clinical trial data?
Bhavish Pahwa and Bhavika Pahwa. 2023 · 1944
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The third pascal recognizing textual entailment challenge
Danilo Giampiccolo, Bernardo Magnini, Ido Dagan, and William B Dolan. 2007 · 2007
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Tahmid Hasan, Abhik Bhattacharjee, Kazi Samin, Masum Hasan, Madhusudan Basak, M Sohel Rahman, and Rifat Shahriyar. 2020b · 2009
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A survey on recent approaches for natural language processing in low-resource scenarios
Michael A Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, and Dietrich Klakow. 2020 · 2010
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Deep learning for hate speech detection in tweets
Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, and Vasudeva Varma. 2017 · 2017
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Braja Gopal Patra, Dipankar Das, and Amitava Das. 2018 · 2017
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A framework for building a natural language interface for bangla
Yeasin Ar Rahman, Mahtabul Alam Sohan, Khalid Ibn Zinnah, and Mohammed Moshiul Hoque. 2017 · 2017
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel R Bowman. 2017 · 2017
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Xnli: Evaluating cross-lingual sentence representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
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Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman. 2018 · 2018
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Diverse few-shot text classification with multiple metrics
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, and Bowen Zhou. 2018 · 2018
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Improving hate speech detection with deep learning ensembles
Steven Zimmerman, Udo Kruschwitz, and Chris Fox. 2018 · 2018
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The# benderrule: On naming the languages we study and why it matters
Emily Bender. 2019 · 2019
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Detecting entailment in code-mixed hindi-english conversations
Sharanya Chakravarthy, Anjana Umapathy, and Alan W Black. 2020 · 2020
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Sentiment classification in bangla textual content: A comparative study
Md Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury, and Firoj Alam. 2020a · 2020
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Towards low-resource semi-supervised dialogue generation with meta-learning
Yi Huang, Junlan Feng, Shuo Ma, Xiaoyu Du, and Xiaoting Wu. 2020 · 2020
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Abhik Bhattacharjee, Tahmid Hasan, Kazi Samin, Md Saiful Islam, M. Sohel Rahman, Anindya Iqbal, and Rifat Shahriyar. 2021 · 2021
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Sentnob: A dataset for analysing sentiment on noisy bangla texts
Khondoker Ittehadul Islam, Sudipta Kar, Md Saiful Islam, and Mohammad Ruhul Amin. 2021 · 2021
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Sentiment analysis using xlm-r transformer and zero-shot transfer learning on resource-poor indian language
Akshi Kumar and Victor Hugo C Albuquerque. 2021 · 2021
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Indicxnli: Evaluating multilingual inference for indian languages
Divyanshu Aggarwal, Vivek Gupta, and Anoop Kunchukuttan. 2022 · 2022
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Challenging big-bench tasks and whether chain-of-thought can solve them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V Le, Ed H Chi, Denny Zhou, et al. 2022 · 2022
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No language left behind: Scaling human-centered machine translation
NLLB Team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, and Jeff Wang. 2022 · 2022
Innovations in urdu sentiment analysis using machine and deep learning techniques for two-class classification of symmetric datasets
Khalid Bin Muhammad and SM Aqil Burney. 2023 · 2023
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Summarization is (almost) dead
Xiao Pu, Mingqi Gao, and Xiaojun Wan. 2023 · 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 · 2023
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Enhancing mathematical capabilities through chatgpt and similar generative artificial intelligence: Roles and challenges in solving mathematical problems
Nitin Rane. 2023 · 2023
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Chatgpt mt: Competitive for high-(but not low-) resource languages
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Mega: Multilingual evaluation of generative ai
Kabir Ahuja, Rishav Hada, Millicent Ochieng, Prachi Jain, Harshita Diddee, Samuel Maina, Tanuja Ganu, Sameer Segal, Maxamed Axmed, Kalika Bali, et al. 2023 · 2023
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An in-depth look at gemini’s language abilities
Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, and Graham Neubig. 2023 · 2023
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Buffet: Benchmarking large language models for few-shot cross-lingual transfer
Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, and Hannaneh Hajishirzi. 2023 · 2023
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A literature survey on multimodal and multilingual automatic hate speech identification
Anusha Chhabra and Dinesh Kumar Vishwakarma. 2023 · 2023
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Instructtods: Large language models for end-to-end task-oriented dialogue systems
Willy Chung, Samuel Cahyawijaya, Bryan Wilie, Holy Lovenia, and Pascale Fung. 2023 · 2023
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Leveraging zero and few-shot learning for enhanced model generality in hate speech detection in spanish and english
José Antonio García-Díaz, Ronghao Pan, and Rafael Valencia-García. 2023 · 2023
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When truth matters-addressing pragmatic categories in natural language inference (nli) by large language models (llms)
Reto Gubelmann, Aikaterini-Lida Kalouli, Christina Niklaus, and Siegfried Handschuh. 2023 · 2023
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Blp-2023 task 2: Sentiment analysis
Md Arid Hasan, Firoj Alam, Anika Anjum, Shudipta Das, and Afiyat Anjum. 2023a · 2023
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Nathaniel R Robinson, Perez Ogayo, David R Mortensen, and Graham Neubig. 2023 · 2023
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Everything you need to know about multilingual llms: Towards fair, performant and reliable models for languages of the world
Sunayana Sitaram, Monojit Choudhury, Barun Patra, Vishrav Chaudhary, Kabir Ahuja, and Kalika Bali. 2023 · 2023
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Sentiment analysis through llm negotiations
Xiaofei Sun, Xiaoya Li, Shengyu Zhang, Shuhe Wang, Fei Wu, Jiwei Li, Tianwei Zhang, and Guoyin Wang. 2023 · 2023
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Can chatgpt replace traditional kbqa models? an in-depth analysis of the question answering performance of the gpt llm family
Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, and Guilin Qi. 2023 · 2023
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A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt. 2023 · 2023
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A paradigm shift in machine translation: Boosting translation performance of large language models
Haoran Xu, Young Jin Kim, Amr Sharaf, and Hany Hassan Awadalla. 2023 · 2023
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Harnessing the power of llms in practice: A survey on chatgpt and beyond
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, and Xia Hu. 2023 · 2023
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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 · 2023
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Toolqa: A dataset for llm question answering with external tools
Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, and Chao Zhang. 2023 · 2023
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David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, Nikita Vassilyev, Jesujoba O. Alabi, Yanke Mao, Haonan Gao, and Annie En-Shiun Lee. 2024 · 2024
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Recent advances in hate speech moderation: Multimodality and the role of large models
Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, and Roy Ka-Wei Lee. 2024 · 2024
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Indicllmsuite: A blueprint for creating pre-training and fine-tuning datasets for indian languages
Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M Khapra, et al. 2024 · 2024
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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 · 2024
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Designing heterogeneous llm agents for financial sentiment analysis
Frank Xing. 2024 · 2024
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Min Zhang, Jianfeng He, Taoran Ji, and Chang-Tien Lu. 2024 · 2024
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