🧑‍🔬 Pang Wei Koh — all works

52 works · ← Pang Wei Koh

1. Mobility network models of COVID-19 explain inequities and inform reopening ↗Nature · no summary yetSerina Y. Chang et al.2020 · 1,532 citations
2. Understanding Black-box Predictions via Influence FunctionsarXiv:1703.04730Pang Wei Koh, Percy Liang2017 · 1,514 citations
3. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 987 citations
4. Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization ↗arXiv (Cornell University) · no summary yetShiori Sagawa et al.2019 · 430 citations
5. WILDS: A Benchmark of in-the-Wild Distribution Shifts ↗CaltechAUTHORS (California Institute of Technology) · no summary yetPang Wei Koh et al.2020 · 405 citations
6. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims ↗arXiv:2004.07213 · no summary yetMiles Brundage et al.2020 · 320 citations
7. Tiled convolutional neural networks ↗neural information processing systems · no summary yetJiquan Ngiam et al.2010 · 298 citations
8. 2 OLMo 2 Furious ↗arXiv:2501.00656 · no summary yetTeam OLMo et al.2025 · 262 citations
9. DataComp: In search of the next generation of multimodal datasets ↗arXiv:2304.14108 · no summary yetSamir Yitzhak Gadre et al.2023 · 224 citations
10. Concept Bottleneck Models ↗arXiv (Cornell University) · no summary yetPang Wei Koh et al.2020 · 206 citations
11. Stronger data poisoning attacks break data sanitization defenses ↗Machine Learning · no summary yetPang Wei Koh, Jacob Steinhardt, Percy Liang2018 · 200 citations
12. Distributionally Robust Neural Networks ↗International Conference on Learning Representations · no summary yetShiori Sagawa et al.2020 · 161 citations
13. Are aligned neural networks adversarially aligned? ↗arXiv:2306.15447 · no summary yetNicholas Carlini et al.2023 · 157 citations
14. An Investigation of Why Overparameterization Exacerbates Spurious Correlations ↗arXiv (Cornell University) · no summary yetShiori Sagawa et al.2020 · 147 citations
15. Just Train Twice: Improving Group Robustness without Training Group Information ↗arXiv (Cornell University) · no summary yetEvan Zheran Liu et al.2021 · 125 citations
16. Certified Defenses for Data Poisoning Attacks ↗arXiv (Cornell University) · no summary yetJacob Steinhardt, Pang Wei Koh, Percy Liang2017 · 103 citations
17. On the Accuracy of Influence Functions for Measuring Group Effects ↗arXiv (Cornell University) · no summary yetPang Wei Koh et al.2019 · 95 citations
18. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningConference on Neural Information Processing Systems (NeurIPS)Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.2024 · 74 citations
19. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs ↗arXiv:2411.14199 · no summary yetAkari Asai et al.2024 · 62 citations
20. The Generative AI Paradox: "What It Can Create, It May Not Understand" ↗arXiv:2311.00059 · no summary yetPeter West et al.2023 · 62 citations
21. Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization ↗arXiv (Cornell University) · no summary yetJohn J. Miller et al.2021 · 59 citations
22. Spurious Rewards: Rethinking Training Signals in RLVR ↗arXiv:2506.10947 · no summary yetRulin Shao et al.2025 · 53 citations
23. ExpBERT: Representation Engineering with Natural Language Explanations ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetShikhar Murty, Pang Wei Koh, Percy Liang2020 · 52 citations
24. Reliable, Adaptable, and Attributable Language Models with RetrievalarXiv:2403.03187Akari Asai, Zexuan Zhong, Danqi Chen, et al.2024 · 45 citations
25. Synthesizing scientific literature with retrieval-augmented language models ↗Nature · no summary yetAkari Asai et al.2026 · 42 citations
26. ReasonIR: Training Retrievers for Reasoning Tasks ↗arXiv (Cornell University) · no summary yetRulin Shao et al.2025 · 41 citations
27. Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling ↗no summary yetSerina Y. Chang et al.2021 · 36 citations
28. Scaling Retrieval-Based Language Models with a Trillion-Token Datastore ↗neural information processing systems · no summary yetRulin Shao et al.2024 · 30 citations
29. Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations ↗arXiv (Cornell University) · no summary yetSawyer Birnbaum et al.2019 · 21 citations
30. CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetTong Chen et al.2024 · 19 citations
31. Using Large Language Models to Promote Health Equity ↗NEJM AI · no summary yetEmma Pierson et al.2023 · 18 citations
32. Extending the WILDS Benchmark for Unsupervised Adaptation ↗arXiv (Cornell University) · no summary yetShiori Sagawa et al.2021 · 18 citations
33. Multilingual Diversity Improves Vision-Language Representations ↗neural information processing systems · no summary yetThao Nguyen et al.2024 · 16 citations
34. Selective Classification Can Magnify Disparities Across Groups ↗arXiv (Cornell University) · no summary yetErik Jones et al.2020 · 15 citations
35. The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains ↗arXiv (Cornell University) · no summary yetScott Geng et al.2025 · 10 citations
36. The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better ↗neural information processing systems · no summary yetScott Geng et al.2024 · 9 citations
37. Inferring Multidimensional Rates of Aging from Cross-Sectional Data ↗PubMed · no summary yetEmma Pierson et al.2018 · 7 citations
38. FlexOLMo: Open Language Models for Flexible Data Use ↗neural information processing systems · no summary yetWeijia Shi et al.2025 · 5 citations
39. Precise Information Control in Long-Form Text Generation ↗neural information processing systems · no summary yetJacqueline He et al.2025 · 3 citations
40. JobBench: Aligning Agent Work With Human Will ↗arXiv (Cornell University) · no summary yetYuetai Li et al.2026 · 1 citation
41. ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data ↗arXiv (Cornell University) · no summary yetTong Chen et al.2025 · 1 citation
42. Out-of-Domain Robustness via Targeted Augmentations ↗arXiv (Cornell University) · no summary yetIrena Gao et al.2023 · 1 citation
43. Time Series Super Resolution withTemporal Adaptive Batch Normalization ↗no summary yetVolodymyr Kuleshov et al.2018 · 1 citation
44. Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model ↗arXiv (Cornell University) · no summary yetJacqueline He et al.2026
45. Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall ↗arXiv:2609.01532 · no summary yetJacqueline He et al.2026
46. ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research ↗arXiv (Cornell University) · no summary yetSohyeon Kim et al.2026
47. Spokes: Optimizing for Diverse Pretraining Data Selection ↗arXiv (Cornell University) · no summary yetClarence Lee et al.2026
48. Context Language Models ↗arXiv (Cornell University) · no summary yetRulin Shao et al.2026
49. Efficient Test-Time Adaptation through Human-AI Interaction ↗arXiv (Cornell University) · no summary yetZora Zhiruo Wang et al.2026
50. Self-Improving VLM Judges Without Human Annotations ↗arXiv (Cornell University) · no summary yetInna Wanyin Lin et al.2025
51. Negative Token Merging: Image-based Adversarial Feature Guidance ↗arXiv (Cornell University) · no summary yetJaskirat Singh et al.2024
52. Overparameterization hurts worst-group accuracy with spurious correlations ↗International Conference on Machine Learning · no summary yetShiori Sagawa et al.2020

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