🧑‍🔬 Shayne Longpre — all works

34 works · ← Shayne Longpre

1. Scaling Instruction-Finetuned Language Models ↗arXiv:2210.11416 · no summary yetHyung Won Chung et al.2022 · 3,392 citations
2. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
3. The Flan Collection: Designing Data and Methods for Effective Instruction TuningarXiv:2301.13688Shayne Longpre, Le Hou, Tu Vu, et al.2023 · 607 citations
4. Entity-Based Knowledge Conflicts in Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Shayne Longpre, Kartik Perisetla, Anthony Chen, et al.2021 · 298 citations
5. Prometheus: Inducing Fine-grained Evaluation Capability in Language ModelsarXiv:2310.08491Seungone Kim, Jamin Shin, Yejin Cho, et al.2023 · 281 citations
6. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsarXiv:2405.01535Seungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 234 citations
7. Open-Domain Question Answering Goes Conversational via Question RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.2021 · 228 citations
8. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.2025 · 182 citations
9. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual SettingsBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsZeerak Talat, Aurélie Névéol, Stella Biderman, et al.2022 · 130 citations
10. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & ToxicityarXiv:2305.13169Shayne Longpre, Gregory Yauney, Emily Reif, et al.2023 · 104 citations
11. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
12. How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetShayne Longpre, Yu Wang, Chris DuBois2020 · 91 citations
13. The Foundation Model Transparency Index ↗arXiv:2310.12941 · no summary yetRishi Bommasani et al.2023 · 76 citations
14. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language ModelsarXiv:2305.14705Sheng Shen, Le Hou, Yanqi Zhou, et al.2023 · 70 citations
15. The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetSeungone Kim et al.2025 · 57 citations
16. Foundation Model Transparency Reports ↗Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yetRishi Bommasani et al.2024 · 53 citations
17. International AI Safety Report ↗arXiv (Cornell University) · no summary yetYoshua Bengio et al.2025 · 41 citations
18. Considerations for governing open foundation models ↗Science · no summary yetRishi Bommasani et al.2024 · 36 citations
19. On the Societal Impact of Open Foundation Models ↗arXiv (Cornell University) · no summary yetSayash Kapoor et al.2024 · 30 citations
20. The Leaderboard Illusion ↗arXiv:2504.20879 · no summary yetShivalika Singh et al.2025 · 22 citations
21. A Safe Harbor for AI Evaluation and Red Teaming ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2024 · 22 citations
22. The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text ↗neural information processing systems · no summary yetNikhil Kandpal et al.2025 · 21 citations
23. MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages ↗Proceedings of the Workshop on Multilingual Information Access (MIA) · no summary yetAkari Asai et al.2022 · 17 citations
24. The Foundation Model Transparency Index v1.1: May 2024 ↗arXiv (Cornell University) · no summary yetRishi Bommasani et al.2024 · 14 citations
25. International Scientific Report on the Safety of Advanced AI (Interim Report) ↗arXiv (Cornell University) · no summary yetYoshua Bengio et al.2024 · 13 citations
26. A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2016 · 13 citations
27. The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2024 · 11 citations
28. The 2025 Foundation Model Transparency Index ↗SuperIntelligence - Robotics - Safety & Alignment · no summary yetAlexander Wan et al.2026 · 9 citations
29. Establishing Best Practices for Building Rigorous Agentic Benchmarks ↗arXiv:2507.02825 · no summary yetYuxuan Zhu et al.2025 · 7 citations
30. Position: On the Societal Impact of Open Foundation Models ↗ANU Open Research (Australian National University) · no summary yetSayash Kapoor et al.2024 · 6 citations
31. FlexOLMo: Open Language Models for Flexible Data Use ↗neural information processing systems · no summary yetWeijia Shi et al.2025 · 5 citations
32. Establishing Best Practices in Building Rigorous Agentic Benchmarks ↗neural information processing systems · no summary yetYuxuan Zhu et al.2025 · 4 citations
33. In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2025 · 2 citations
34. FLARE-AI: Flaw Reporting for AI ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2026

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