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Recent information retrieval (IR) models are pre-trained and instruction-tuned on massive datasets and tasks, enabling them to perform well on a wide range of tasks and potentially generalize to unseen tasks with instructions.
Rodrigo Nogueira and Kyunghyun Cho. 2019 · 1901
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Sparc: Cross-domain semantic parsing in context
Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, He Yang Er, Irene Z Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, and Dragomir R. Radev. 2019 · 1906
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Eli5: Long form question answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, and Michael Auli. 2019 · 1907
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Codesearchnet challenge: Evaluating the state of semantic code search
Hamel Husain, Hongqiu Wu, Tiferet Gazit, Miltiadis Allamanis, and Marc Brockschmidt. 2019 · 1909
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Billsum: A corpus for automatic summarization of us legislation
Anastassia Kornilova and Vladimir Eidelman. 2019 · 1910
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Specter: Document-level representation learning using citation-informed transformers
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S. Weld. 2020 · 2004
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Yu Wu, Sergey Edunov, Danqi Chen, and Wen tau Yih. 2020 · 2004
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Trec 2007 genomics track overview
William R. Hersh, Aaron M. Cohen, Jianji Yang, Ravi Teja Bhupatiraju, Phoebe M. Roberts, and Marti A. Hearst. 2007 · 2007
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Robust disambiguation of named entities in text
Johannes Hoffart, Mohamed Amir Yosef, Ilaria Bordino, Hagen Fürstenau, Manfred Pinkal, Marc Spaniol, Bilyana Taneva, Stefan Thater, and Gerhard Weikum. 2011 · 2011
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Cqadupstack: A benchmark data set for community question-answering research
Doris Hoogeveen, Karin M. Verspoor, and Timothy Baldwin. 2015 · 2015
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A full-text learning to rank dataset for medical information retrieval
Vera Boteva, Demian Gholipour Ghalandari, Artem Sokolov, and Stefan Riezler. 2016 · 2016
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Ms marco: A human generated machine reading comprehension dataset
Daniel Fernando Campos, Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng, and Bhaskar Mitra. 2016 · 2016
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Zero-shot relation extraction via reading comprehension
Omer Levy, Minjoon Seo, Eunsol Choi, and Luke Zettlemoyer. 2017 · 2017
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Wizard of wikipedia: Knowledge-powered conversational agents
Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston. 2018 · 2018
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T-rex: A large scale alignment of natural language with knowledge base triples
Hady ElSahar, Pavlos Vougiouklis, Arslen Remaci, Christophe Gravier, Jonathon S. Hare, Frédérique Laforest, and Elena Paslaru Bontas Simperl. 2018 · 2018
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Robust named entity disambiguation with random walks
Zhaochen Guo and Denilson Barbosa. 2018 · 2018
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Www’18 open challenge: Financial opinion mining and question answering
Macedo Maia, Siegfried Handschuh, André Freitas, Brian Davis, Ross McDermott, Manel Zarrouk, and Alexandra Balahur. 2018 · 2018
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Fever: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
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Retrieval of the best counterargument without prior topic knowledge
Henning Wachsmuth, Shahbaz Syed, and Benno Stein. 2018 · 2018
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Tao Yu, Rui Zhang, Kai-Chou Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Z Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir R. Radev. 2018 · 2018
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Overview of the fire 2019 aila track: Artificial intelligence for legal assistance
Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, and Prasenjit Majumder. 2019 · 2019
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Overview of touché 2020: Argument retrieval
Alexander Bondarenko, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Christian Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, and Matthias Hagen. 2020 · 2020
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Kilt: a benchmark for knowledge intensive language tasks
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktaschel, and Sebastian Riedel. 2020 · 2020
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Trec-covid: rationale and structure of an information retrieval shared task for covid-19
Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, and William R. Hersh. 2020 · 2020
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Fact or fiction: Verifying scientific claims
David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2020
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Topiocqa: Open-domain conversational question answering with topic switching
Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, and Siva Reddy. 2021 · 2021
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Pointrec: A test collection for narrative-driven point of interest recommendation
Jafar Afzali, Aleksander Mark Drzewiecki, and Krisztian Balog. 2021 · 2021
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Program synthesis with large language models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie J. Cai, Michael Terry, Quoc V. Le, and Charles Sutton. 2021 · 2021
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Regulatory compliance through doc2doc information retrieval: A case study in eu/uk legislation where text similarity has limitations
Ilias Chalkidis, Manos Fergadiotis, Nikolaos Manginas, Eva Katakalou, and Prodromos Malakasiotis. 2021 · 2021
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Unsupervised corpus aware language model pre-training for dense passage retrieval
Luyu Gao and Jamie Callan. 2021 · 2021
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Towards intelligent legal advisors for document retrieval and question-answering in german legal documents
Christoph Hoppe, David Pelkmann, Nico Migenda, Daniel Hötte, and Wolfram Schenck. 2021 · 2021
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A test collection for ad-hoc dataset retrieval
Swe-bench: Can language models resolve real-world github issues?
Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan. 2023 · 2023
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Repobench: Benchmarking repository-level code auto-completion systems
Tianyang Liu, Canwen Xu, and Julian McAuley. 2023 · 2023
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Octopack: Instruction tuning code large language models
Niklas Muennighoff, Qian Liu, Qi Liu, Armel Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, and S. Longpre. 2023 · 2023
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Gorilla: Large language model connected with massive apis
Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez. 2023 · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Makoto P. Kato, Hiroaki Ohshima, Ying-Hsang Liu, and Hsin-Liang Chen. 2021 · 2021
Cited alongside, same era.
A statutory article retrieval dataset in french
Antoine Louis, Gerasimos Spanakis, and G. van Dijck. 2021 · 2021
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Large dual encoders are generalizable retrievers
Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Abrego, Ji Ma, Vincent Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, and Yinfei Yang. 2021 · 2021
Cited alongside, same era.
Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models
Nandan Thakur, Nils Reimers, Andreas Ruckl’e, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
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Naturalproofs: Mathematical theorem proving in natural language
Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, and Kyunghyun Cho. 2021 · 2021
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Gerdalir: A german dataset for legal information retrieval
Marco Wrzalik and Dirk Krechel. 2021 · 2021
Cited alongside, same era.
Pretrained transformers for text ranking: Bert and beyond
Andrew Yates, Rodrigo Nogueira, and Jimmy Lin. 2021 · 2021
Cited alongside, same era.
Task-aware retrieval with instructions
Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, and Wen tau Yih. 2022 · 2022
Cited alongside, same era.
Yujia Qin, Shi Liang, Yining Ye, Kunlun Zhu, Lan Yan, Ya-Ting Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Marc H. Gerstein, Dahai Li, Zhiyuan Liu, and Maosong Sun. 2023 · 2023
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Is ChatGPT good at search? investigating large language models as re-ranking agents
Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, and Zhaochun Ren. 2023 · 2023
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Nevir: Negation in neural information retrieval
Orion Weller, Dawn J Lawrie, and Benjamin Van Durme. 2023 · 2023
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C-pack: Packaged resources to advance general chinese embedding
Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighoff. 2023 · 2023
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Codegeex: A pre-trained model for code generation with multilingual evaluations on humaneval-x
Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shanshan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, and Jie Tang. 2023 · 2023
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Instruction-following evaluation for large language models
Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, Siddhartha Brahma, Sujoy Basu, Yi Luan, Denny Zhou, and Le Hou. 2023 · 2023
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Large language models for information retrieval: A survey
Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Zhicheng Dou, and Ji-Rong Wen. 2023 · 2023
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Litsearch: A retrieval benchmark for scientific literature search
Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, and Tianyu Gao. 2024 · 2024
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Alpagasus: Training a better alpaca with fewer data
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Scaling instruction-finetuned language models
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Nv-embed: Improved techniques for training llms as generalist embedding models
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Bm25s: Orders of magnitude faster lexical search via eager sparse scoring
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Generative representational instruction tuning
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Instructir: A benchmark for instruction following of information retrieval models
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Procis: A benchmark for proactive retrieval in conversations
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Quantemp: A real-world open-domain benchmark for fact-checking numerical claims
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Followir: Evaluating and teaching information retrieval models to follow instructions
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Care: a benchmark suite for the classification and retrieval of enzymes
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Excluir: Exclusionary neural information retrieval
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Dense text retrieval based on pretrained language models: A survey
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