Shayne Longpre
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
10
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices. | Sean McGregor, Allyson Ettinger, Nick Judd, Paul Albee, Liwei Jiang, Kavel Rao, William H. Smith, Shayne Longpre, Avijit Ghosh, Christopher Fiorelli, Michelle Hoang, Sven Cattell, Nouha Dziri |
| 2025 | ACL | Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. | Shivalika Singh, Angelika Romanou, Clmentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Sebastian Ruder, Wei-Yin Ko, Antoine Bosselut, Alice Oh, Andr F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker |
| 2025 | ICLR | Bridging the Data Provenance Gap Across Text, Speech, and Video. | Shayne Longpre, Nikhil Singh, Manuel Cherep, Kushagra Tiwary, Joanna Materzynska, William Brannon, Robert Mahari, Naana Obeng-Marnu, Manan Dey, Mohammed Hamdy, Nayan Saxena, Ahmad Mustafa Anis, Emad A. Alghamdi, Vu Minh Chien, Da Yin, Kun Qian, Yizhi Li, Minnie Liang, An Dinh, Shrestha Mohanty, et al. |
| 2025 | ICML | Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI. | Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan |
| 2025 | NAACL | The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. | Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo |
| 2024 | ACL | Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. | Ahmet stn, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker |
| 2024 | AIES | Foundation Model Transparency Reports. | Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang |
| 2024 | EMNLP | Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. | Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo |
| 2024 | ICLR | Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. | Seungone Kim, Jamin Shin, Yejin Choi, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo |
| 2024 | ICLR | OctoPack: Instruction Tuning Code Large Language Models. | Niklas Muennighoff, Qian Liu, Armel Randy Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre |
| 2024 | ICLR | Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. | Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou |
| 2024 | ICML | Position: On the Societal Impact of Open Foundation Models. | Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan |
| 2024 | ICML | Position: A Safe Harbor for AI Evaluation and Red Teaming. | Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson |
| 2024 | ICML | Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? | Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, William Brannon, Tobin South, Katy Ilonka Gero, Alex Pentland, Jad Kabbara |
| 2024 | ICML | Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research. | Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan |
| 2024 | NAACL | A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. | Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, Daphne Ippolito |
| 2023 | ICML | The Flan Collection: Designing Data and Methods for Effective Instruction Tuning. | Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts |
| 2022 | COLING | Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks. | Rajiv Movva, Jinhao Lei, Shayne Longpre, Ajay Gupta, Chris DuBois |
| 2021 | ACL | Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. | Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh |
| 2021 | ECIR | A Comparison of Question Rewriting Methods for Conversational Passage Retrieval. | Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre |
| 2021 | EMNLP | Entity-Based Knowledge Conflicts in Question Answering. | Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh |
| 2021 | NAACL | Open-Domain Question Answering Goes Conversational via Question Rewriting. | Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, Shayne Longpre, Stephen Pulman, Srinivas Chappidi |
| 2021 | NAACL | On the Transferability of Minimal Prediction Preserving Inputs in Question Answering. | Shayne Longpre, Yi Lu, Chris DuBois |
| 2021 | WSDM | Question Rewriting for Conversational Question Answering. | Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha |
| 2020 | EMNLP | How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? | Shayne Longpre, Yu Wang, Chris DuBois |