🧑‍🔬 Tatsunori Hashimoto — all works

69 works · ← Tatsunori Hashimoto

1. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
2. Holistic Evaluation of Language Models ↗arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yetPercy Liang et al.2022 · 1,001 citations
3. Benchmarking Large Language Models for News SummarizationTransactions of the Association for Computational Linguistics (TACL)Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al.2024 · 671 citations
4. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
5. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackConference on Neural Information Processing Systems (NeurIPS)Yann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 456 citations
6. Diffusion-LM Improves Controllable Text GenerationarXiv:2205.14217Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.2022 · 440 citations
7. 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
8. Generating Sentences by Editing PrototypesTransactions of the Association for Computational Linguistics (TACL)Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, et al.2017 · 425 citations
9. Whose Opinions Do Language Models Reflect?arXiv:2303.17548Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 414 citations
10. Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale ↗ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yetFederico Bianchi et al.2023 · 377 citations
11. Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators ↗arXiv:2404.04475 · no summary yetYann Dubois et al.2024 · 310 citations
12. Contrastive Decoding: Open-ended Text Generation as OptimizationarXiv:2210.15097Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al.2022 · 254 citations
13. Fairness Without Demographics in Repeated Loss Minimization ↗arXiv (Cornell University) · no summary yetTatsunori Hashimoto et al.2018 · 254 citations
14. Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks ↗IEEE Security and Privacy Workshops (SPW) · no summary yetDaniel D. Kang et al.2024 · 206 citations
15. Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersarXiv:2409.04109Chenglei Si, Diyi Yang, Tatsunori Hashimoto2024 · 196 citations
16. Large Language Models Can Be Strong Differentially Private Learners ↗arXiv (Cornell University) · no summary yetXuechen Li et al.2021 · 166 citations
17. A Retrieve-and-Edit Framework for Predicting Structured Outputs ↗arXiv (Cornell University) · no summary yetTatsunori Hashimoto et al.2018 · 164 citations
18. Distributionally Robust Neural Networks ↗International Conference on Learning Representations · no summary yetShiori Sagawa et al.2020 · 161 citations
19. Distributionally Robust Language Modeling ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetYonatan Oren et al.2019 · 149 citations
20. Unifying Human and Statistical Evaluation for Natural Language GenerationarXiv:1904.02792Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang2019 · 143 citations
21. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsarXiv:2309.07875Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 135 citations
22. Foundation Models and Fair Use ↗SSRN Electronic Journal · no summary yetPeter B. Henderson et al.2023 · 134 citations
23. Improved Natural Language Generation via Loss TruncationAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Kang, Tatsunori B. Hashimoto2020 · 130 citations
24. Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetKaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto2023 · 123 citations
25. Contrastive Decoding: Open-ended Text Generation as Optimization ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiang Lisa Li et al.2023 · 113 citations
26. Robust Distortion-free Watermarks for Language ModelsarXiv:2307.15593Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, et al.2023 · 110 citations
27. Identifying the Risks of LM Agents with an LM-Emulated SandboxarXiv:2309.15817Yangjun Ruan, Honghua Dong, Andrew Wang, et al.2023 · 96 citations
28. Proving Test Set Contamination in Black Box Language ModelsarXiv:2310.17623Yonatan Oren, Nicole Meister, Niladri Chatterji, et al.2023 · 92 citations
29. Identifying and Mitigating the Security Risks of Generative AI ↗Foundations and Trends® in Privacy and Security · no summary yetClark Barrett et al.2023 · 79 citations
30. When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization ↗Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yetFaisal Ladhak et al.2023 · 75 citations
31. Coder Reviewer Reranking for Code Generation ↗arXiv:2211.16490 · no summary yetTianyi Zhang et al.2022 · 52 citations
32. Robustness to Spurious Correlations via Human Annotations ↗arXiv (Cornell University) · no summary yetMegha Srivastava, Tatsunori Hashimoto, Percy Liang2020 · 47 citations
33. MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment TasksConference on Neural Information Processing Systems (NeurIPS)Allen Nie, Yuhui Zhang, Atharva Amdekar, et al.2023 · 41 citations
34. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
35. Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions ↗arXiv:2106.03873 · no summary yetDorottya Demszky et al.2021 · 40 citations
36. Benchmarking Distributional Alignment of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto2025 · 35 citations
37. On the Learnability of Watermarks for Language Models ↗arXiv (Cornell University) · no summary yetChenchen Gu et al.2023 · 28 citations
38. Benchmarking and Improving Generator-Validator Consistency of Language Models ↗arXiv (Cornell University) · no summary yetXiang Lisa Li et al.2023 · 27 citations
39. Scaling up Trustless DNN Inference with Zero-Knowledge Proofs ↗arXiv (Cornell University) · no summary yetDaniel D. Kang et al.2022 · 27 citations
40. DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetShikhar Murty, Tatsunori B. Hashimoto, Christopher Manning2021 · 27 citations
41. Improving Pretraining Data Using Perplexity Correlations ↗arXiv (Cornell University) · no summary yetTristan Thrush, Christopher E. Potts, Tatsunori Hashimoto2024 · 24 citations
42. AutoBencher: Towards Declarative Benchmark Construction ↗arXiv (Cornell University) · no summary yetXiang Lisa Li et al.2024 · 22 citations
43. One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ↗arXiv:2307.03576 · no summary yetArvind Mahankali, Tatsunori B. Hashimoto, Tengyu Ma2023 · 22 citations
44. The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas ↗arXiv:2506.20803 · no summary yetChenglei Si, Tatsunori Hashimoto, Diyi Yang2025 · 19 citations
45. Extending the WILDS Benchmark for Unsupervised Adaptation ↗arXiv (Cornell University) · no summary yetShiori Sagawa et al.2021 · 18 citations
46. Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning ↗arXiv (Cornell University) · no summary yetShibani Santurkar et al.2022 · 15 citations
47. Improving Self-Supervised Learning by Characterizing Idealized Representations ↗neural information processing systems · no summary yetYann Dubois et al.2022 · 11 citations
48. End-to-End Test-Time Training for Long Context ↗arXiv (Cornell University) · no summary yetArnuv Tandon et al.2025 · 10 citations
49. Eliciting Language Model Behaviors with Investigator Agents ↗arXiv (Cornell University) · no summary yetXiang Lisa Li et al.2025 · 8 citations
50. Modeling the Second Player in Distributionally Robust Optimization ↗arXiv (Cornell University) · no summary yetPaul Michel, Tatsunori Hashimoto, Graham Neubig2021 · 8 citations
51. Learning Autocomplete Systems as a Communication Game ↗arXiv (Cornell University) · no summary yetMina Lee, Tatsunori Hashimoto, Percy Liang2019 · 8 citations
52. Unsupervised Transformation Learning via Convex Relaxations ↗arXiv (Cornell University) · no summary yetTatsunori Hashimoto, John C. Duchi, Percy Liang2017 · 8 citations
53. Towards Execution-Grounded Automated AI ResearcharXiv:2601.14525Chenglei Si, Zitong Yang, Yejin Choi, et al.2026 · 7 citations
54. Pre-training under infinite compute ↗arXiv (Cornell University) · no summary yetKim, Konwoo et al.2025 · 7 citations
55. Inferring Multidimensional Rates of Aging from Cross-Sectional Data ↗PubMed · no summary yetEmma Pierson et al.2018 · 7 citations
56. Learning to (Learn at Test Time) ↗arXiv:2310.13807 · no summary yetYu Sun et al.2023 · 6 citations
57. FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users ↗arXiv (Cornell University) · no summary yetAnikait Singh et al.2025 · 5 citations
58. Auditing Prompt Caching in Language Model APIs ↗arXiv (Cornell University) · no summary yetGu, Chenchen et al.2025 · 4 citations
59. ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation ↗arXiv (Cornell University) · no summary yetDaniel D. Kang et al.2022 · 4 citations
60. Evaluating Self-Supervised Learning via Risk Decomposition ↗arXiv (Cornell University) · no summary yetDubois, Yann, Tatsunori Hashimoto, Percy Liang2023 · 3 citations
61. Trustless Audits without Revealing Data or Models ↗arXiv (Cornell University) · no summary yetSuppakit Waiwitlikhit et al.2024 · 2 citations
62. Distributionally Robust Models with Parametric Likelihood Ratios ↗arXiv (Cornell University) · no summary yetPaul Michel, Tatsunori Hashimoto, Graham Neubig2022 · 2 citations
63. Data-efficient pre-training by scaling synthetic megadocs ↗arXiv (Cornell University) · no summary yetKonwoo Kim et al.2026 · 1 citation
64. Out-of-Domain Robustness via Targeted Augmentations ↗arXiv (Cornell University) · no summary yetIrena Gao et al.2023 · 1 citation
65. Trustworthy oversight of machine learning via randomization ↗Stanford Digital Repository · no summary yetRohith Kuditipudi et al.2026
66. Synthetic Data for any Differentiable Target ↗arXiv (Cornell University) · no summary yetTristan Thrush et al.2026
67. Taming and leveraging inconsistencies in pretrained language models ↗Stanford Digital Repository · no summary yetTianyi Zhang et al.2026
68. Will Scaling Improve Social Simulation with LLMs? ↗arXiv (Cornell University) · no summary yetCaleb Ziems et al.2026
69. CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition ↗arXiv (Cornell University) · no summary yetMartijn Bartelds et al.2025

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