Tatsunori Hashimoto

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 109

Top Venues

CoRR

ICLR

ICML

Trans. Mach. Learn. Res.

Publications

Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang
Trustless Audits without Revealing Data or Models. CoRR (2024)
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
Learning to (Learn at Test Time): RNNs with Expressive Hidden States. CoRR (2024)
Xiang Lisa Li, Vaishnavi Shrivastava, Siyan Li, Tatsunori Hashimoto, Percy Liang
Benchmarking and Improving Generator-Validator Consistency of Language Models. ICLR (2024)
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
A Survey on Data Selection for Language Models. CoRR (2024)
Gaurav R. Ghosal, Tatsunori Hashimoto, Aditi Raghunathan
Understanding Finetuning for Factual Knowledge Extraction. CoRR (2024)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. SP (Workshops) (2024)
Ian Covert, Chanwoo Kim, Su-In Lee, James Zou, Tatsunori Hashimoto
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution. CoRR (2024)
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox. ICLR (2024)
Christopher Mohri, Tatsunori Hashimoto
Language Models with Conformal Factuality Guarantees. CoRR (2024)
Xiang Lisa Li, Evan Zheran Liu, Percy Liang, Tatsunori Hashimoto
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models. CoRR (2024)
Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
Observational Scaling Laws and the Predictability of Language Model Performance. CoRR (2024)
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
A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. ICLR (2024)
Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto
Linguistic Calibration of Language Models. CoRR (2024)
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. ICLR (2024)
Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto
Proving Test Set Contamination in Black-Box Language Models. ICLR (2024)
Ian Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou
Scaling Laws for the Value of Individual Data Points in Machine Learning. CoRR (2024)
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
Robust Distortion-free Watermarks for Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Arvind V. Mahankali, Tatsunori Hashimoto, Tengyu Ma
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention. ICLR (2024)
Chenchen Gu, Xiang Lisa Li, Percy Liang, Tatsunori Hashimoto
On the Learnability of Watermarks for Language Models. ICLR (2024)
Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin
Privacy-Preserving Domain Adaptation of Semantic Parsers. ACL (1) (2023)
Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang
Foundation Models and Fair Use. CoRR (2023)
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
Identifying and Mitigating the Security Risks of Generative AI. CoRR (2023)
Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models. CoRR (2023)
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto
Whose Opinions Do Language Models Reflect? ICML (2023)
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox. CoRR (2023)
Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto
Congestion Control Safety via Comparative Statics. INFOCOM (2023)
Rohan Taori, Tatsunori Hashimoto
Data Feedback Loops: Model-driven Amplification of Dataset Biases. ICML (2023)
Matthew Russo, Tatsunori Hashimoto, Daniel Kang, Yi Sun, Matei Zaharia
Accelerating Aggregation Queries on Unstructured Streams of Data. CoRR (2023)
Xiang Lisa Li, Vaishnavi Shrivastava, Siyan Li, Tatsunori Hashimoto, Percy Liang
Benchmarking and Improving Generator-Validator Consistency of Language Models. CoRR (2023)
Chenchen Gu, Xiang Lisa Li, Percy Liang, Tatsunori Hashimoto
On the Learnability of Watermarks for Language Models. CoRR (2023)
Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT (2023)
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
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6 (1) (2023)
Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. EACL (2023)
John C. Duchi, Tatsunori Hashimoto, Hongseok Namkoong
Distributionally Robust Losses for Latent Covariate Mixtures. Oper. Res. 71 (2) (2023)
Qiusi Zhan, Richard Fang, Rohan Bindu, Akul Gupta, Tatsunori Hashimoto, Daniel Kang
Removing RLHF Protections in GPT-4 via Fine-Tuning. CoRR (2023)
Yu Sun, Xinhao Li, Karan Dalal, Chloe Hsu, Sanmi Koyejo, Carlos Guestrin, Xiaolong Wang, Tatsunori Hashimoto, Xinlei Chen
Learning to (Learn at Test Time). CoRR (2023)
Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification. Trans. Mach. Learn. Res. 2023 (2023)
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
Robust Distortion-free Watermarks for Language Models. CoRR (2023)
Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang
Out-of-Domain Robustness via Targeted Augmentations. CoRR (2023)
Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. CoRR (2023)
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
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
Is a Caption Worth a Thousand Images? A Study on Representation Learning. ICLR (2023)
Yann Dubois, Tatsunori Hashimoto, Percy Liang
Evaluating Self-Supervised Learning via Risk Decomposition. CoRR (2023)
Matthew Russo, Tatsunori Hashimoto, Daniel Kang, Yi Sun, Matei Zaharia
Accelerating Aggregation Queries on Unstructured Streams of Data. Proc. VLDB Endow. 16 (11) (2023)
Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang
Coder Reviewer Reranking for Code Generation. ICML (2023)
Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto
Contrastive Error Attribution for Finetuned Language Models. ACL (1) (2023)
Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
Contrastive Decoding: Open-ended Text Generation as Optimization. ACL (1) (2023)
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. CoRR (2023)
Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models. EMNLP (2023)
Tianyi Zhang, Mina Lee, Xiang Lisa Li, Ende Shen, Tatsunori Hashimoto
TempLM: Distilling Language Models into Template-Based Generators. ACL (Findings) (2023)
Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang
Out-of-Domain Robustness via Targeted Augmentations. ICML (2023)
Yann Dubois, Tatsunori Hashimoto, Percy Liang
Evaluating Self-Supervised Learning via Risk Decomposition. ICML (2023)
Allen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori Hashimoto, Tobias Gerstenberg
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks. CoRR (2023)
Peter Henderson, Tatsunori Hashimoto, Mark A. Lemley
Where's the Liability in Harmful AI Speech? CoRR (2023)
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto
Whose Opinions Do Language Models Reflect? CoRR (2023)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. CoRR (2023)
Xuechen Li, Florian Tramèr, Percy Liang, Tatsunori Hashimoto
Large Language Models Can Be Strong Differentially Private Learners. ICLR (2022)
Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning. CoRR (2022)
Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta
When Does Differentially Private Learning Not Suffer in High Dimensions? CoRR (2022)
Ke Alexander Wang, Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto
Is Importance Weighting Incompatible with Interpolating Classifiers? ICLR (2022)
Hanlin Zhang, Xuechen Li, Prithviraj Sen, Salim Roukos, Tatsunori Hashimoto
A Closer Look at the Calibration of Differentially Private Learners. CoRR (2022)
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CoRR (2022)
Ishaan Gulrajani, Tatsunori Hashimoto
Identifiability Conditions for Domain Adaptation. ICML (2022)
Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun
ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation. CoRR (2022)
Paul Michel, Tatsunori Hashimoto, Graham Neubig
Distributionally Robust Models with Parametric Likelihood Ratios. CoRR (2022)
Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR (2022)
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
Emergent Abilities of Large Language Models. Trans. Mach. Learn. Res. 2022 (2022)
Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto
Language modeling via stochastic processes. ICLR (2022)
Yann Dubois, Tatsunori Hashimoto, Stefano Ermon, Percy Liang
Improving Self-Supervised Learning by Characterizing Idealized Representations. CoRR (2022)
Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data. SIGMOD Conference (2022)
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI (2022)
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
Emergent Abilities of Large Language Models. CoRR (2022)
Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
Contrastive Decoding: Open-ended Text Generation as Optimization. CoRR (2022)
Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto
Spurious Correlations in Reference-Free Evaluation of Text Generation. CoRR (2022)
Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs. CoRR (2022)
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
Holistic Evaluation of Language Models. CoRR (2022)
Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto
Language modeling via stochastic processes. CoRR (2022)
Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto
Tracing and Removing Data Errors in Natural Language Generation Datasets. CoRR (2022)
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
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR (2022)
Paul Michel, Tatsunori Hashimoto, Graham Neubig
Distributionally Robust Models with Parametric Likelihood Ratios. ICLR (2022)
Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto
Spurious Correlations in Reference-Free Evaluation of Text Generation. ACL (1) (2022)
Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification. CoRR (2022)
Fatemehsadat Mireshghallah, Richard Shin, Yu Su, Tatsunori Hashimoto, Jason Eisner
Privacy-Preserving Domain Adaptation of Semantic Parsers. CoRR (2022)
Tianyi Zhang, Tatsunori Hashimoto
On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies. CoRR (2021)
Paul Michel, Tatsunori Hashimoto, Graham Neubig
Modeling the Second Player in Distributionally Robust Optimization. ICLR (2021)
Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. ACL/IJCNLP (1) (2021)
Tianyi Zhang, Tatsunori Hashimoto
On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies. NAACL-HLT (2021)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ 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 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.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Tatsunori Hashimoto
Model Performance Scaling with Multiple Data Sources. ICML (2021)
Ke Alexander Wang, Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
Is Importance Weighting Incompatible with Interpolating Classifiers? CoRR (2021)
Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto
Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control. HotNets (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Accelerating Approximate Aggregation Queries with Expensive Predicates. Proc. VLDB Endow. 14 (11) (2021)
Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. CoRR (2021)
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
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR (2021)
Xuechen Li, Florian Tramèr, Percy Liang, Tatsunori Hashimoto
Large Language Models Can Be Strong Differentially Private Learners. CoRR (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR (2021)
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Accelerating Approximate Aggregation Queries with Expensive Predicates. CoRR (2021)
Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. CHI (2021)
Paul Michel, Tatsunori Hashimoto, Graham Neubig
Modeling the Second Player in Distributionally Robust Optimization. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tatsunori Hashimoto