🧑‍🔬 Sanmi Koyejo — all works

27 works · ← Sanmi Koyejo

1. Examples are not enough, learn to criticize! Criticism for Interpretability ↗neural information processing systems · no summary yetBeen Kim, Rajiv Khanna, Sanmi Koyejo2016 · 527 citations
2. Are Emergent Abilities of Large Language Models a Mirage?Conference on Neural Information Processing Systems (NeurIPS)Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 342 citations
3. Rethinking machine unlearning for large language models ↗Nature Machine Intelligence · no summary yetSijia Liu et al.2025 · 197 citations
4. Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data ↗arXiv (Cornell University) · no summary yetMatthias Gerstgrasser et al.2024 · 44 citations
5. Advancing science- and evidence-based AI policy ↗Science · no summary yetRishi Bommasani et al.2025 · 25 citations
6. The Leaderboard IllusionConference on Neural Information Processing Systems (NeurIPS)Shivalika Singh, Yiyang Nan, Alex Wang, et al.2025 · 22 citations
7. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research ↗neural information processing systems · no summary yetA. Feder Cooper et al.2025 · 17 citations
8. Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4Lecture notes in computer scienceLeni Aniva, Chuyue Sun, Brando Miranda, et al.2024 · 14 citations
9. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice ↗SSRN Electronic Journal · no summary yetA. Feder Cooper et al.2025 · 12 citations
10. End-to-End Test-Time Training for Long Context ↗arXiv (Cornell University) · no summary yetArnuv Tandon et al.2025 · 10 citations
11. Extracting books from production language models ↗arXiv (Cornell University) · no summary yetAhmed Ahmed et al.2026 · 8 citations
12. UQ: Assessing Language Models on Unsolved Questions ↗arXiv (Cornell University) · no summary yetNie, Fan et al.2025 · 6 citations
13. Learning to (Learn at Test Time)arXiv:2310.13807Yu Sun, Xinhao Li, Karan Dalal, et al.2023 · 6 citations
14. SWE-chat: Coding Agent Interactions From Real Users in the Wild ↗arXiv (Cornell University) · no summary yetJoachim Baumann et al.2026 · 5 citations
15. SpecEval: Evaluating Model Adherence to Behavior Specifications ↗arXiv (Cornell University) · no summary yetAhmed Abdelmoamen Ahmed et al.2025 · 3 citations
16. Language Models May Verbatim Complete Text They Were Not Explicitly Trained On ↗arXiv (Cornell University) · no summary yetKen Ziyu Liu et al.2025 · 3 citations
17. Reliable and Efficient Amortized Model-based Evaluation ↗arXiv (Cornell University) · no summary yetSang Truong et al.2025 · 3 citations
18. Shaping AI's Impact on Billions of Lives ↗arXiv (Cornell University) · no summary yetMariano-Florentino Cuéllar et al.2024 · 2 citations
19. Inference-Time Control for Trustworthy Large Language Models ↗Preprints.org · no summary yetYuyang Bai et al.2026
20. DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents ↗arXiv (Cornell University) · no summary yetZhaorun Chen et al.2026
21. Verbalizing Subliminal Learning Effects Using Text Optimization ↗arXiv (Cornell University) · no summary yetNathan Hu, Sanmi Koyejo, Christopher E. Potts2026
22. Verifiable, Articulable, and Tacit Components of Preference ↗arXiv (Cornell University) · no summary yetAlexander Spangher et al.2026
23. Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings ↗arXiv (Cornell University) · no summary yetSang Truong et al.2026
24. The Illusion of Robustness: Aggregate Accuracy Hides Prediction Flips under Task-Irrelevant Context ↗arXiv (Cornell University) · no summary yetYanzhe Zhang, Sanmi Koyejo, Diyi Yang2026
25. Structured Prompts Improve Evaluation of Language Models ↗arXiv (Cornell University) · no summary yetAsad Aali et al.2025
26. Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF ↗arXiv (Cornell University) · no summary yetSyrine Belakaria et al.2025
27. Spatiotemporal generative AI for multimodal and multiscale modeling of geospatial data ↗Stanford Digital Repository · no summary yetJeremy Irvin et al.2025

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