Tatsunori Hashimoto
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
12
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | s1: Simple test-time scaling. | Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Cands, Tatsunori Hashimoto |
| 2025 | ICLR | Locality Alignment Improves Vision-Language Models. | Ian Connick Covert, Tony Sun, James Zou, Tatsunori Hashimoto |
| 2025 | ICLR | AutoBencher: Towards Declarative Benchmark Construction. | Xiang Lisa Li, Farzaan Kaiyom, Evan Zheran Liu, Yifan Mai, Percy Liang, Tatsunori Hashimoto |
| 2025 | ICLR | Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers. | Chenglei Si, Diyi Yang, Tatsunori Hashimoto |
| 2025 | ICLR | Improving Pretraining Data Using Perplexity Correlations. | Tristan Thrush, Christopher Potts, Tatsunori Hashimoto |
| 2025 | ICLR | Synthetic continued pretraining. | Zitong Yang, Neil Band, Shuangping Li, Emmanuel J. Cands, Tatsunori Hashimoto |
| 2025 | ICML | Learning to (Learn at Test Time): RNNs with Expressive Hidden States. | Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin |
| 2025 | ICML | Online Conformal Prediction via Online Optimization. | Felipe Areces, Christopher Mohri, Tatsunori Hashimoto, John C. Duchi |
| 2025 | ICML | Auditing Prompt Caching in Language Model APIs. | Chenchen Gu, Xiang Lisa Li, Rohith Kuditipudi, Percy Liang, Tatsunori Hashimoto |
| 2025 | ICML | Eliciting Language Model Behaviors with Investigator Agents. | Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt |
| 2025 | NAACL | Benchmarking Distributional Alignment of Large Language Models. | Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto |
| 2024 | ICLR | Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. | Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Rttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou |
| 2024 | ICLR | On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. | Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki |
| 2024 | ICLR | On the Learnability of Watermarks for Language Models. | Chenchen Gu, Xiang Lisa Li, Percy Liang, Tatsunori Hashimoto |
| 2024 | ICLR | Benchmarking and Improving Generator-Validator Consistency of Language Models. | Xiang Lisa Li, Vaishnavi Shrivastava, Siyan Li, Tatsunori Hashimoto, Percy Liang |
| 2024 | ICLR | One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention. | Arvind V. Mahankali, Tatsunori Hashimoto, Tengyu Ma |
| 2024 | ICLR | Proving Test Set Contamination in Black-Box Language Models. | Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto |
| 2024 | ICLR | Identifying the Risks of LM Agents with an LM-Emulated Sandbox. | Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto |
| 2024 | ICML | Linguistic Calibration of Long-Form Generations. | Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto |
| 2024 | ICML | Scaling Laws for the Value of Individual Data Points in Machine Learning. | Ian Connick Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou |
| 2024 | ICML | Understanding Finetuning for Factual Knowledge Extraction. | Gaurav Rohit Ghosal, Tatsunori Hashimoto, Aditi Raghunathan |
| 2024 | ICML | Language Models with Conformal Factuality Guarantees. | Christopher Mohri, Tatsunori Hashimoto |
| 2024 | ICML | Trustless Audits without Revealing Data or Models. | Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang |
| 2024 | NAACL | Removing RLHF Protections in GPT-4 via Fine-Tuning. | Qiusi Zhan, Richard Fang, Rohan Bindu, Akul Gupta, Tatsunori Hashimoto, Daniel Kang |
| 2024 | SP | Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. | Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto |
| 2023 | ACL | Contrastive Error Attribution for Finetuned Language Models. | Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto |
| 2023 | ACL | Contrastive Decoding: Open-ended Text Generation as Optimization. | Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis |
| 2023 | ACL | Privacy-Preserving Domain Adaptation of Semantic Parsers. | Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin |
| 2023 | ACL | TempLM: Distilling Language Models into Template-Based Generators. | Tianyi Zhang, Mina Lee, Xiang Lisa Li, Ende Shen, Tatsunori Hashimoto |
| 2023 | EACL | When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. | Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto |
| 2023 | EMNLP | Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models. | Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto |
| 2023 | ICLR | Is a Caption Worth a Thousand Images? A Study on Representation Learning. | Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto |
| 2023 | ICML | Evaluating Self-Supervised Learning via Risk Decomposition. | Yann Dubois, Tatsunori Hashimoto, Percy Liang |
| 2023 | ICML | Out-of-Domain Robustness via Targeted Augmentations. | Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang |
| 2023 | ICML | Whose Opinions Do Language Models Reflect? | Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto |
| 2023 | ICML | Data Feedback Loops: Model-driven Amplification of Dataset Biases. | Rohan Taori, Tatsunori Hashimoto |
| 2023 | ICML | Coder Reviewer Reranking for Code Generation. | Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang |
| 2023 | INFOCOM | Congestion Control Safety via Comparative Statics. | Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto |
| 2022 | ACL | Spurious Correlations in Reference-Free Evaluation of Text Generation. | Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto |
| 2022 | CHI | Jury Learning: Integrating Dissenting Voices into Machine Learning Models. | Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein |
| 2022 | ICLR | Large Language Models Can Be Strong Differentially Private Learners. | Xuechen Li, Florian Tramr, Percy Liang, Tatsunori Hashimoto |
| 2022 | ICLR | Distributionally Robust Models with Parametric Likelihood Ratios. | Paul Michel, Tatsunori Hashimoto, Graham Neubig |
| 2022 | ICLR | Extending the WILDS Benchmark for Unsupervised Adaptation. | Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang |
| 2022 | ICLR | Is Importance Weighting Incompatible with Interpolating Classifiers? | Ke Alexander Wang, Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto |
| 2022 | ICLR | Language modeling via stochastic processes. | Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto |
| 2022 | ICML | Identifiability Conditions for Domain Adaptation. | Ishaan Gulrajani, Tatsunori Hashimoto |
| 2022 | SIGMOD | TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data. | Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia |
| 2021 | ACL | Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. | Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto |
| 2021 | CHI | The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. | Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein |
| 2021 | HOTNETS | Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control. | Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto |
| 2021 | ICLR | Modeling the Second Player in Distributionally Robust Optimization. | Paul Michel, Tatsunori Hashimoto, Graham Neubig |
| 2021 | ICML | Model Performance Scaling with Multiple Data Sources. | Tatsunori Hashimoto |
| 2021 | NAACL | DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference. | Shikhar Murty, Tatsunori Hashimoto, Christopher D. Manning |
| 2021 | NAACL | On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies. | Tianyi Zhang, Tatsunori Hashimoto |
| 2020 | ACL | Improved Natural Language Generation via Loss Truncation. | Daniel Kang, Tatsunori Hashimoto |
| 2018 | AISTATS | Derivative Free Optimization Via Repeated Classification. | Tatsunori Hashimoto, Steve Yadlowsky, John C. Duchi |