Tatsunori Hashimoto

154 papers A* 41A 2Misc 1Journal 97Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Adversarial QA for Improving Domain-Specific LLMs. CoRR Vincent Grari, Ciprian Tomoiaga, Sylvain Lamprier, Tatsunori Hashimoto, Marcin Detyniecki
2026	J	`jnl`	Data-efficient pre-training by scaling synthetic megadocs. CoRR Konwoo Kim, Suhas Kotha, Yejin Choi, Tatsunori Hashimoto, Nick Haber, Percy Liang
2026	J	`jnl`	Towards Execution-Grounded Automated AI Research. CoRR Chenglei Si, Zitong Yang, Yejin Choi, Emmanuel J. Candès, Diyi Yang, Tatsunori Hashimoto
2025	A*	`conf`	Auditing Prompt Caching in Language Model APIs. ICML Chenchen Gu, Xiang Lisa Li, Rohith Kuditipudi, Percy Liang, Tatsunori Hashimoto
2025	J	`jnl`	Auditing Prompt Caching in Language Model APIs. CoRR Chenchen Gu, Xiang Lisa Li, Rohith Kuditipudi, Percy Liang, Tatsunori Hashimoto
2025	A*	`conf`	AutoBencher: Towards Declarative Benchmark Construction. ICLR Xiang Lisa Li, Farzaan Kaiyom, Evan Zheran Liu, Yifan Mai, Percy Liang, Tatsunori Hashimoto
2025	—	`conf`	Benchmarking Distributional Alignment of Large Language Models. NAACL (Long Papers) Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto
2025	J	`jnl`	CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition. CoRR Martijn Bartelds, Ananjan Nandi, Moussa Koulako Bala Doumbouya, Dan Jurafsky, Tatsunori Hashimoto, Karen Livescu
2025	A*	`conf`	Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers. ICLR Chenglei Si, Diyi Yang, Tatsunori Hashimoto
2025	A*	`conf`	Eliciting Language Model Behaviors with Investigator Agents. ICML Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt
2025	J	`jnl`	Eliciting Language Model Behaviors with Investigator Agents. CoRR Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt
2025	J	`jnl`	End-to-End Test-Time Training for Long Context. CoRR Arnuv Tandon, Karan Dalal, Xinhao Li, Daniel Koceja, Marcel Rød, Sam Buchanan, Xiaolong Wang, Jure Leskovec, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin, Jed McCaleb, Yejin Choi, Yu Sun
2025	J	`jnl`	FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real Users. CoRR Anikait Singh, Sheryl Hsu, Kyle Hsu, Eric Mitchell, Stefano Ermon, Tatsunori Hashimoto, Archit Sharma, Chelsea Finn
2025	A*	`conf`	Improving Pretraining Data Using Perplexity Correlations. ICLR Tristan Thrush, Christopher Potts, Tatsunori Hashimoto
2025	A*	`conf`	Learning to (Learn at Test Time): RNNs with Expressive Hidden States. ICML 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	A*	`conf`	Locality Alignment Improves Vision-Language Models. ICLR Ian Connick Covert, Tony Sun, James Zou, Tatsunori Hashimoto
2025	J	`jnl`	LongCodeBench: Evaluating Coding LLMs at 1M Context Windows. CoRR Stefano Rando, Luca Romani, Alessio Sampieri, Yuta Kyuragi, Luca Franco, Fabio Galasso, Tatsunori Hashimoto, John Yang
2025	J	`jnl`	One-Minute Video Generation with Test-Time Training. CoRR Karan Dalal, Daniel Koceja, Gashon Hussein, Jiarui Xu, Yue Zhao, Youjin Song, Shihao Han, Ka Chun Cheung, Jan Kautz, Carlos Guestrin, Tatsunori Hashimoto, Sanmi Koyejo, Yejin Choi, Yu Sun, Xiaolong Wang
2025	A*	`conf`	Online Conformal Prediction via Online Optimization. ICML Felipe Areces, Christopher Mohri, Tatsunori Hashimoto, John C. Duchi
2025	J	`jnl`	OpenThoughts: Data Recipes for Reasoning Models. CoRR Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt
2025	J	`jnl`	Pre-training under infinite compute. CoRR Konwoo Kim, Suhas Kotha, Percy Liang, Tatsunori Hashimoto
2025	J	`jnl`	Putting It All into Context: Simplifying Agents with LCLMs. CoRR Mingjian Jiang, Yangjun Ruan, Luis A. Lastras, Pavan Kapanipathi, Tatsunori Hashimoto
2025	J	`jnl`	Reasoning to Learn from Latent Thoughts. CoRR Yangjun Ruan, Neil Band, Chris J. Maddison, Tatsunori Hashimoto
2025	J	`jnl`	Synthetic bootstrapped pretraining. CoRR Zitong Yang, Aonan Zhang, Hong Liu, Tatsunori Hashimoto, Emmanuel J. Candès, Chong Wang, Ruoming Pang
2025	A*	`conf`	Synthetic continued pretraining. ICLR Zitong Yang, Neil Band, Shuangping Li, Emmanuel J. Candès, Tatsunori Hashimoto
2025	J	`jnl`	The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas. CoRR Chenglei Si, Tatsunori Hashimoto, Diyi Yang
2025	A*	`conf`	s1: Simple test-time scaling. EMNLP Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Candès, Tatsunori Hashimoto
2025	J	`jnl`	s1: Simple test-time scaling. CoRR Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Candès, Tatsunori Hashimoto
2024	J	`jnl`	A Survey on Data Selection for Language Models. CoRR Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024	J	`jnl`	A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024	J	`jnl`	AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models. CoRR Xiang Lisa Li, Evan Zheran Liu, Percy Liang, Tatsunori Hashimoto
2024	J	`jnl`	Benchmarking Distributional Alignment of Large Language Models. CoRR Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto
2024	A*	`conf`	Benchmarking and Improving Generator-Validator Consistency of Language Models. ICLR Xiang Lisa Li, Vaishnavi Shrivastava, Siyan Li, Tatsunori Hashimoto, Percy Liang
2024	J	`jnl`	Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers. CoRR Chenglei Si, Diyi Yang, Tatsunori Hashimoto
2024	—	`conf`	Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. SP (Workshops) Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
2024	J	`jnl`	Graph-based Uncertainty Metrics for Long-form Language Model Outputs. CoRR Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri, Salim Roukos, Tatsunori Hashimoto
2024	A*	`conf`	Identifying the Risks of LM Agents with an LM-Emulated Sandbox. ICLR Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
2024	J	`jnl`	Improving Pretraining Data Using Perplexity Correlations. CoRR Tristan Thrush, Christopher Potts, Tatsunori Hashimoto
2024	A*	`conf`	Language Models with Conformal Factuality Guarantees. ICML Christopher Mohri, Tatsunori Hashimoto
2024	J	`jnl`	Language Models with Conformal Factuality Guarantees. CoRR Christopher Mohri, Tatsunori Hashimoto
2024	J	`jnl`	Learning to (Learn at Test Time): RNNs with Expressive Hidden States. CoRR Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
2024	J	`jnl`	Linguistic Calibration of Language Models. CoRR Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto
2024	A*	`conf`	Linguistic Calibration of Long-Form Generations. ICML Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto
2024	J	`jnl`	Locality Alignment Improves Vision-Language Models. CoRR Ian Covert, Tony Sun, James Zou, Tatsunori Hashimoto
2024	J	`jnl`	Observational Scaling Laws and the Predictability of Language Model Performance. CoRR Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
2024	A*	`conf`	On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. ICLR Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
2024	A*	`conf`	On the Learnability of Watermarks for Language Models. ICLR Chenchen Gu, Xiang Lisa Li, Percy Liang, Tatsunori Hashimoto
2024	A*	`conf`	One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention. ICLR Arvind V. Mahankali, Tatsunori Hashimoto, Tengyu Ma
2024	A*	`conf`	Proving Test Set Contamination in Black-Box Language Models. ICLR Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto
2024	—	`conf`	Removing RLHF Protections in GPT-4 via Fine-Tuning. NAACL (Short Papers) Qiusi Zhan, Richard Fang, Rohan Bindu, Akul Gupta, Tatsunori Hashimoto, Daniel Kang
2024	J	`jnl`	Robust Distortion-free Watermarks for Language Models. Trans. Mach. Learn. Res. Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
2024	A*	`conf`	Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. ICLR Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
2024	A*	`conf`	Scaling Laws for the Value of Individual Data Points in Machine Learning. ICML Ian Connick Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou
2024	J	`jnl`	Scaling Laws for the Value of Individual Data Points in Machine Learning. CoRR Ian Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou
2024	J	`jnl`	Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution. CoRR Ian Covert, Chanwoo Kim, Su-In Lee, James Zou, Tatsunori Hashimoto
2024	J	`jnl`	Synthetic continued pretraining. CoRR Zitong Yang, Neil Band, Shuangping Li, Emmanuel J. Candès, Tatsunori Hashimoto
2024	J	`jnl`	The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations. CoRR Theodora Worledge, Tatsunori Hashimoto, Carlos Guestrin
2024	J	`jnl`	The Future of Open Human Feedback. CoRR Shachar Don-Yehiya, Ben Burtenshaw, Ramón Fernandez Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, Mikhail Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen
2024	A*	`conf`	Trustless Audits without Revealing Data or Models. ICML Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang
2024	J	`jnl`	Trustless Audits without Revealing Data or Models. CoRR Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang
2024	A*	`conf`	Understanding Finetuning for Factual Knowledge Extraction. ICML Gaurav Rohit Ghosal, Tatsunori Hashimoto, Aditi Raghunathan
2024	J	`jnl`	Understanding Finetuning for Factual Knowledge Extraction. CoRR Gaurav R. Ghosal, Tatsunori Hashimoto, Aditi Raghunathan
2023	J	`jnl`	Accelerating Aggregation Queries on Unstructured Streams of Data. CoRR Matthew Russo, Tatsunori Hashimoto, Daniel Kang, Yi Sun, Matei Zaharia
2023	J	`jnl`	Accelerating Aggregation Queries on Unstructured Streams of Data. Proc. VLDB Endow. Matthew Russo, Tatsunori Hashimoto, Daniel Kang, Yi Sun, Matei Zaharia
2023	J	`jnl`	Benchmarking and Improving Generator-Validator Consistency of Language Models. CoRR Xiang Lisa Li, Vaishnavi Shrivastava, Siyan Li, Tatsunori Hashimoto, Percy Liang
2023	A*	`conf`	Coder Reviewer Reranking for Code Generation. ICML Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida Wang
2023	A*	`conf`	Congestion Control Safety via Comparative Statics. INFOCOM Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto
2023	—	`conf`	Contrastive Decoding: Open-ended Text Generation as Optimization. ACL (1) Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
2023	—	`conf`	Contrastive Error Attribution for Finetuned Language Models. ACL (1) Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto
2023	A*	`conf`	Data Feedback Loops: Model-driven Amplification of Dataset Biases. ICML Rohan Taori, Tatsunori Hashimoto
2023	J	`jnl`	Distributionally Robust Losses for Latent Covariate Mixtures. Oper. Res. John C. Duchi, Tatsunori Hashimoto, Hongseok Namkoong
2023	—	`conf`	Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
2023	A*	`conf`	Evaluating Self-Supervised Learning via Risk Decomposition. ICML Yann Dubois, Tatsunori Hashimoto, Percy Liang
2023	J	`jnl`	Evaluating Self-Supervised Learning via Risk Decomposition. CoRR Yann Dubois, Tatsunori Hashimoto, Percy Liang
2023	J	`jnl`	Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. CoRR Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
2023	J	`jnl`	Foundation Models and Fair Use. CoRR Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang
2023	J	`jnl`	Foundation Models and Fair Use. J. Mach. Learn. Res. Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang
2023	J	`jnl`	Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2023	J	`jnl`	Identifying and Mitigating the Security Risks of Generative AI. CoRR Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang
2023	J	`jnl`	Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang
2023	J	`jnl`	Identifying the Risks of LM Agents with an LM-Emulated Sandbox. CoRR Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
2023	A*	`conf`	Is a Caption Worth a Thousand Images? A Study on Representation Learning. ICLR Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
2023	J	`jnl`	Learning to (Learn at Test Time). CoRR Yu Sun, Xinhao Li, Karan Dalal, Chloe Hsu, Sanmi Koyejo, Carlos Guestrin, Xiaolong Wang, Tatsunori Hashimoto, Xinlei Chen
2023	J	`jnl`	MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks. CoRR Allen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori Hashimoto, Tobias Gerstenberg
2023	J	`jnl`	Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models. CoRR Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
2023	A*	`conf`	Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models. EMNLP Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
2023	J	`jnl`	On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. CoRR Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
2023	J	`jnl`	On the Learnability of Watermarks for Language Models. CoRR Chenchen Gu, Xiang Lisa Li, Percy Liang, Tatsunori Hashimoto
2023	A*	`conf`	Out-of-Domain Robustness via Targeted Augmentations. ICML Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang
2023	J	`jnl`	Out-of-Domain Robustness via Targeted Augmentations. CoRR Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang
2023	—	`conf`	Privacy-Preserving Domain Adaptation of Semantic Parsers. ACL (1) Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin
2023	J	`jnl`	Removing RLHF Protections in GPT-4 via Fine-Tuning. CoRR Qiusi Zhan, Richard Fang, Rohan Bindu, Akul Gupta, Tatsunori Hashimoto, Daniel Kang
2023	J	`jnl`	Robust Distortion-free Watermarks for Language Models. CoRR Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
2023	J	`jnl`	Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. CoRR Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
2023	—	`conf`	TempLM: Distilling Language Models into Template-Based Generators. ACL (Findings) Tianyi Zhang, Mina Lee, Xiang Lisa Li, Ende Shen, Tatsunori Hashimoto
2023	J	`jnl`	Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification. Trans. Mach. Learn. Res. Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
2023	A	`conf`	When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. EACL Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto
2023	J	`jnl`	Where's the Liability in Harmful AI Speech? CoRR Peter Henderson, Tatsunori Hashimoto, Mark A. Lemley
2023	A*	`conf`	Whose Opinions Do Language Models Reflect? ICML Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto
2023	J	`jnl`	Whose Opinions Do Language Models Reflect? CoRR Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto
2022	J	`jnl`	A Closer Look at the Calibration of Differentially Private Learners. CoRR Hanlin Zhang, Xuechen Li, Prithviraj Sen, Salim Roukos, Tatsunori Hashimoto
2022	J	`jnl`	Contrastive Decoding: Open-ended Text Generation as Optimization. CoRR Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
2022	A*	`conf`	Distributionally Robust Models with Parametric Likelihood Ratios. ICLR Paul Michel, Tatsunori Hashimoto, Graham Neubig
2022	J	`jnl`	Distributionally Robust Models with Parametric Likelihood Ratios. CoRR Paul Michel, Tatsunori Hashimoto, Graham Neubig
2022	J	`jnl`	Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
2022	J	`jnl`	Emergent Abilities of Large Language Models. CoRR Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus
2022	J	`jnl`	Emergent Abilities of Large Language Models. Trans. Mach. Learn. Res. Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus
2022	A*	`conf`	Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR 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	J	`jnl`	Holistic Evaluation of Language Models. CoRR Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2022	A*	`conf`	Identifiability Conditions for Domain Adaptation. ICML Ishaan Gulrajani, Tatsunori Hashimoto
2022	J	`jnl`	Improving Self-Supervised Learning by Characterizing Idealized Representations. CoRR Yann Dubois, Tatsunori Hashimoto, Stefano Ermon, Percy Liang
2022	A*	`conf`	Is Importance Weighting Incompatible with Interpolating Classifiers? ICLR Ke Alexander Wang, Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto
2022	J	`jnl`	Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning. CoRR Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
2022	A*	`conf`	Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
2022	J	`jnl`	Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CoRR Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
2022	A*	`conf`	Language modeling via stochastic processes. ICLR Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto
2022	J	`jnl`	Language modeling via stochastic processes. CoRR Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto
2022	A*	`conf`	Large Language Models Can Be Strong Differentially Private Learners. ICLR Xuechen Li, Florian Tramèr, Percy Liang, Tatsunori Hashimoto
2022	J	`jnl`	Privacy-Preserving Domain Adaptation of Semantic Parsers. CoRR Fatemehsadat Mireshghallah, Richard Shin, Yu Su, Tatsunori Hashimoto, Jason Eisner
2022	J	`jnl`	Scaling up Trustless DNN Inference with Zero-Knowledge Proofs. CoRR Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun
2022	—	`conf`	Spurious Correlations in Reference-Free Evaluation of Text Generation. ACL (1) Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto
2022	J	`jnl`	Spurious Correlations in Reference-Free Evaluation of Text Generation. CoRR Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto
2022	—	`conf`	TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data. SIGMOD Conference Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia
2022	J	`jnl`	Tracing and Removing Data Errors in Natural Language Generation Datasets. CoRR Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto
2022	J	`jnl`	Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification. CoRR Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
2022	J	`jnl`	When Does Differentially Private Learning Not Suffer in High Dimensions? CoRR Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta
2022	J	`jnl`	ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation. CoRR Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun
2021	J	`jnl`	Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
2021	J	`jnl`	Accelerating Approximate Aggregation Queries with Expensive Predicates. Proc. VLDB Endow. Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
2021	—	`conf`	DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference. NAACL-HLT Shikhar Murty, Tatsunori Hashimoto, Christopher D. Manning
2021	Misc	`conf`	Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control. HotNets Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto
2021	J	`jnl`	Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR 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
2021	J	`jnl`	Is Importance Weighting Incompatible with Interpolating Classifiers? CoRR Ke Alexander Wang, Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
2021	J	`jnl`	Large Language Models Can Be Strong Differentially Private Learners. CoRR Xuechen Li, Florian Tramèr, Percy Liang, Tatsunori Hashimoto
2021	—	`conf`	Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. ACL/IJCNLP (1) Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto
2021	J	`jnl`	Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. CoRR Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto
2021	A*	`conf`	Model Performance Scaling with Multiple Data Sources. ICML Tatsunori Hashimoto
2021	A*	`conf`	Modeling the Second Player in Distributionally Robust Optimization. ICLR Paul Michel, Tatsunori Hashimoto, Graham Neubig
2021	J	`jnl`	Modeling the Second Player in Distributionally Robust Optimization. CoRR Paul Michel, Tatsunori Hashimoto, Graham Neubig
2021	—	`conf`	On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies. NAACL-HLT Tianyi Zhang, Tatsunori Hashimoto
2021	J	`jnl`	On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies. CoRR Tianyi Zhang, Tatsunori Hashimoto
2021	J	`jnl`	On the Opportunities and Risks of Foundation Models. CoRR Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
2021	J	`jnl`	Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
2021	A*	`conf`	The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. CHI Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein
2021	J	`jnl`	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou
2020	J	`jnl`	Approximate Selection with Guarantees using Proxies. CoRR Daniel Kang, Edward Gan, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia
2020	J	`jnl`	Approximate Selection with Guarantees using Proxies. Proc. VLDB Endow. Daniel Kang, Edward Gan, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia
2020	J	`jnl`	Distributionally Robust Losses for Latent Covariate Mixtures. CoRR John C. Duchi, Tatsunori Hashimoto, Hongseok Namkoong
2020	A*	`conf`	Improved Natural Language Generation via Loss Truncation. ACL Daniel Kang, Tatsunori Hashimoto
2020	J	`jnl`	Improved Natural Language Generation via Loss Truncation. CoRR Daniel Kang, Tatsunori Hashimoto
2020	J	`jnl`	Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data. CoRR Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia
2018	A	`conf`	Derivative Free Optimization Via Repeated Classification. AISTATS Tatsunori Hashimoto, Steve Yadlowsky, John C. Duchi
2009	J	`jnl`	Superconducting Narrowband Filter for Receiver of Weather Radar. IEICE Trans. Electron. Tamio Kawaguchi, Noritsugu Shiokawa, Kohei Nakayama, Takatoshi Watanabe, Tatsunori Hashimoto, Hiroyuki Kayano
2005	J	`jnl`	Electrically Tunable Superconducting Microstrip Line Band-Pass Filter for Mobile Applications. IEICE Trans. Electron. Hiroyuki Kayano, Hiroyuki Fuke, Fumihiko Aiga, Mutsuki Yamazaki, Yoshiaki Terashima, Tatsunori Hashimoto