Percy Liang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
176
Venues
25
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*ICML52 papers
- A*ACL34 papers
- A*EMNLP25 papers
- A*ICLR24 papers
- ANAACL9 papers
- AAISTATS5 papers
- CAIES3 papers
- UnrankedCoRL3 papers
- A*PLDI3 papers
- A*UIST2 papers
- A*ICCV2 papers
- AEACL1 paper
- A*AAAI1 paper
- A*HRI1 paper
- A*CHI1 paper
- AUAI1 paper
- A*WWW1 paper
- A*SODA1 paper
- A*STOC1 paper
- A*COLT1 paper
- A*ECCV1 paper
- AESOP1 paper
- A*POPL1 paper
- AOOPSLA1 paper
- AICDAR1 paper
Papers
176 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training. | Jeffrey Li, Joshua P. Gardner, Doug Kang, Fangping Shi, Karanjeet Singh, Chun-Liang Li, Herumb Shandilya, David Leo Wright Hall, Oncel Tuzel, Percy Liang, Ludwig Schmidt, Hadi Pouransari, Fartash Faghri |
| 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 | AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories. | Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li |
| 2025 | ICLR | Model Equality Testing: Which Model is this API Serving? | Irena Gao, Percy Liang, Carlos Guestrin |
| 2025 | ICLR | AutoBencher: Towards Declarative Benchmark Construction. | Xiang Lisa Li, Farzaan Kaiyom, Evan Zheran Liu, Yifan Mai, Percy Liang, Tatsunori Hashimoto |
| 2025 | ICLR | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. | Yusuf H. Roohani, Andrew H. Lee, Qian Huang, Jian Vora, Zachary Steinhart, Kexin Huang, Alexander Marson, Percy Liang, Jure Leskovec |
| 2025 | ICLR | Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View. | Kaiyue Wen, Zhiyuan Li, Jason S. Wang, David Leo Wright Hall, Percy Liang, Tengyu Ma |
| 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 | ICML | Language Models May Verbatim Complete Text They Were Not Explicitly Trained On. | Ken Liu, Christopher A. Choquette-Choo, Matthew Jagielski, Peter Kairouz, Sanmi Koyejo, Percy Liang, Nicolas Papernot |
| 2025 | ICML | Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI. | Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan |
| 2025 | ICML | Reliable and Efficient Amortized Model-based Evaluation. | Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo |
| 2025 | ICML | Position: Language model developers should report train-test overlap. | Andy K. Zhang, Kevin Klyman, Yifan Mai, Yoav Levine, Yian Zhang, Rishi Bommasani, Percy Liang |
| 2025 | ICML | Independence Tests for Language Models. | Sally Zhu, Ahmed M. Ahmed, Rohith Kuditipudi, Percy Liang |
| 2025 | NAACL | LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain. | Joel Niklaus, Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M. Rosen, Peter Henderson, Daniel E. Ho, Garrett Honke, Percy Liang, Christopher D. Manning |
| 2024 | AAAI | MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. | Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah |
| 2024 | AIES | Foundation Model Transparency Reports. | Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang |
| 2024 | AIES | Trustworthy Social Bias Measurement. | Rishi Bommasani, Percy Liang |
| 2024 | AIES | Ecosystem Graphs: Documenting the Foundation Model Supply Chain. | Rishi Bommasani, Dilara Soylu, Thomas I. Liao, Kathleen A. Creel, Percy Liang |
| 2024 | CoRL | Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration. | Jennifer Grannen, Siddharth Karamcheti, Suvir Mirchandani, Percy Liang, Dorsa Sadigh |
| 2024 | CoRL | OpenVLA: An Open-Source Vision-Language-Action Model. | Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Paul Foster, Pannag R. Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn |
| 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 | Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training. | Hong Liu, Zhiyuan Li, David Leo Wright Hall, Percy Liang, Tengyu Ma |
| 2024 | ICLR | Large Language Models as Analogical Reasoners. | Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou |
| 2024 | ICML | MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation. | Qian Huang, Jian Vora, Percy Liang, Jure Leskovec |
| 2024 | ICML | Position: On the Societal Impact of Open Foundation Models. | Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan |
| 2024 | ICML | Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models. | Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh |
| 2024 | ICML | Position: A Safe Harbor for AI Evaluation and Red Teaming. | Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson |
| 2023 | ACL | Backpack Language Models. | John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang |
| 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 | Are Sample-Efficient NLP Models More Robust? | Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia |
| 2023 | ACL | Do Question Answering Modeling Improvements Hold Across Benchmarks? | Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang |
| 2023 | ACL | Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. | Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung |
| 2023 | EMNLP | Evaluating Verifiability in Generative Search Engines. | Nelson F. Liu, Tianyi Zhang, Percy Liang |
| 2023 | HRI | No, to the Right: Online Language Corrections for Robotic Manipulation via Shared Autonomy. | Yuchen Cui, Siddharth Karamcheti, Raj Palleti, Nidhya Shivakumar, Percy Liang, Dorsa Sadigh |
| 2023 | ICLR | Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. | Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn |
| 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 | FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. | Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher R, Ion Stoica, Ce Zhang |
| 2023 | ICML | One-sided Matrix Completion from Two Observations Per Row. | Steven Cao, Percy Liang, Gregory Valiant |
| 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 | CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks. | Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher R, Ce Zhang |
| 2023 | ICML | Retrieval-Augmented Multimodal Language Modeling. | Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih |
| 2023 | UIST | Generative Agents: Interactive Simulacra of Human Behavior. | Joon Sung Park, Joseph C. O'Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein |
| 2022 | ACL | LinkBERT: Pretraining Language Models with Document Links. | Michihiro Yasunaga, Jure Leskovec, Percy Liang |
| 2022 | CHI | CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities. | Mina Lee, Percy Liang, Qian Yang |
| 2022 | EMNLP | Truncation Sampling as Language Model Desmoothing. | John Hewitt, Christopher D. Manning, Percy Liang |
| 2022 | ICLR | GreaseLM: Graph REASoning Enhanced Language Models. | Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec |
| 2022 | ICLR | Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. | Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang |
| 2022 | ICLR | Large Language Models Can Be Strong Differentially Private Learners. | Xuechen Li, Florian Tramr, Percy Liang, Tatsunori Hashimoto |
| 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 | An Explanation of In-context Learning as Implicit Bayesian Inference. | Sang Michael Xie, Aditi Raghunathan, Percy Liang, Tengyu Ma |
| 2022 | ICML | Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation. | Kendrick Shen, Robbie M. Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. HaoChen, Tengyu Ma, Percy Liang |
| 2022 | UAI | Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. | Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan |
| 2022 | UIST | Social Simulacra: Creating Populated Prototypes for Social Computing Systems. | Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein |
| 2021 | ACL | Prefix-Tuning: Optimizing Continuous Prompts for Generation. | Xiang Lisa Li, Percy Liang |
| 2021 | CoRL | LILA: Language-Informed Latent Actions. | Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh |
| 2021 | EMNLP | Conditional probing: measuring usable information beyond a baseline. | John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning |
| 2021 | EMNLP | LM-Critic: Language Models for Unsupervised Grammatical Error Correction. | Michihiro Yasunaga, Jure Leskovec, Percy Liang |
| 2021 | ICLR | Selective Classification Can Magnify Disparities Across Groups. | Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang |
| 2021 | ICLR | In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. | Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang |
| 2021 | ICML | Catformer: Designing Stable Transformers via Sensitivity Analysis. | Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher R, Chelsea Finn, Percy Liang |
| 2021 | ICML | WILDS: A Benchmark of in-the-Wild Distribution Shifts. | Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang |
| 2021 | ICML | Just Train Twice: Improving Group Robustness without Training Group Information. | Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn |
| 2021 | ICML | Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices. | Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn |
| 2021 | ICML | Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. | John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt |
| 2021 | ICML | Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization. | Sang Michael Xie, Tengyu Ma, Percy Liang |
| 2021 | ICML | Break-It-Fix-It: Unsupervised Learning for Program Repair. | Michihiro Yasunaga, Percy Liang |
| 2021 | NAACL | Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality. | Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang |
| 2021 | NAACL | QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. | Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec |
| 2021 | WWW | Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. | Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su |
| 2020 | ACL | Enabling Language Models to Fill in the Blanks. | Chris Donahue, Mina Lee, Percy Liang |
| 2020 | ACL | Robust Encodings: A Framework for Combating Adversarial Typos. | Erik Jones, Robin Jia, Aditi Raghunathan, Percy Liang |
| 2020 | ACL | Selective Question Answering under Domain Shift. | Amita Kamath, Robin Jia, Percy Liang |
| 2020 | ACL | Shaping Visual Representations with Language for Few-Shot Classification. | Jesse Mu, Percy Liang, Noah D. Goodman |
| 2020 | ACL | ExpBERT: Representation Engineering with Natural Language Explanations. | Shikhar Murty, Pang Wei Koh, Percy Liang |
| 2020 | EMNLP | RNNs can generate bounded hierarchical languages with optimal memory. | John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning |
| 2020 | EMNLP | On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks. | Stephen Mussmann, Robin Jia, Percy Liang |
| 2020 | ICLR | Selection via Proxy: Efficient Data Selection for Deep Learning. | Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia |
| 2020 | ICLR | Strategies for Pre-training Graph Neural Networks. | Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec |
| 2020 | ICLR | Distributionally Robust Neural Networks. | Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang |
| 2020 | ICML | Feature Noise Induces Loss Discrepancy Across Groups. | Fereshte Khani, Percy Liang |
| 2020 | ICML | Concept Bottleneck Models. | Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang |
| 2020 | ICML | Understanding Self-Training for Gradual Domain Adaptation. | Ananya Kumar, Tengyu Ma, Percy Liang |
| 2020 | ICML | Understanding and Mitigating the Tradeoff between Robustness and Accuracy. | Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang |
| 2020 | ICML | An Investigation of Why Overparameterization Exacerbates Spurious Correlations. | Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh, Percy Liang |
| 2020 | ICML | Robustness to Spurious Correlations via Human Annotations. | Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang |
| 2020 | ICML | Graph-based, Self-Supervised Program Repair from Diagnostic Feedback. | Michihiro Yasunaga, Percy Liang |
| 2020 | SODA | A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree. | Ray Li, Percy Liang, Stephen Mussmann |
| 2019 | AISTATS | Inferring Multidimensional Rates of Aging from Cross-Sectional Data. | Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang |
| 2019 | AISTATS | Defending against Whitebox Adversarial Attacks via Randomized Discretization. | Yuchen Zhang, Percy Liang |
| 2019 | EMNLP | Designing and Interpreting Probes with Control Tasks. | John Hewitt, Percy Liang |
| 2019 | EMNLP | Certified Robustness to Adversarial Word Substitutions. | Robin Jia, Aditi Raghunathan, Kerem Gksel, Percy Liang |
| 2019 | EMNLP | Distributionally Robust Language Modeling. | Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto, Percy Liang |
| 2019 | ICLR | Learning a SAT Solver from Single-Bit Supervision. | Daniel Selsam, Matthew Lamm, Benedikt Bnz, Percy Liang, Leonardo de Moura, David L. Dill |
| 2019 | NAACL | Unifying Human and Statistical Evaluation for Natural Language Generation. | Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang |
| 2019 | NAACL | Pun Generation with Surprise. | He He, Nanyun Peng, Percy Liang |
| 2018 | ACL | The price of debiasing automatic metrics in natural language evalaution. | Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang |
| 2018 | ACL | Training Classifiers with Natural Language Explanations. | Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher R |
| 2018 | ACL | Know What You Don't Know: Unanswerable Questions for SQuAD. | Pranav Rajpurkar, Robin Jia, Percy Liang |
| 2018 | AISTATS | Generalized Binary Search For Split-Neighborly Problems. | Stephen Mussmann, Percy Liang |
| 2018 | EMNLP | QuAC: Question Answering in Context. | Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer |
| 2018 | EMNLP | Decoupling Strategy and Generation in Negotiation Dialogues. | He He, Derek Chen, Anusha Balakrishnan, Percy Liang |
| 2018 | EMNLP | Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. | Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang |
| 2018 | EMNLP | Mapping natural language commands to web elements. | Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang |
| 2018 | ICLR | Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration. | Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang |
| 2018 | ICLR | Certified Defenses against Adversarial Examples. | Aditi Raghunathan, Jacob Steinhardt, Percy Liang |
| 2018 | ICML | Fairness Without Demographics in Repeated Loss Minimization. | Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang |
| 2018 | ICML | On the Relationship between Data Efficiency and Error for Uncertainty Sampling. | Stephen Mussmann, Percy Liang |
| 2018 | NAACL | Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer. | Juncen Li, Robin Jia, He He, Percy Liang |
| 2018 | PLDI | Active learning of points-to specifications. | Osbert Bastani, Rahul Sharma, Alex Aiken, Percy Liang |
| 2018 | STOC | Prediction with a short memory. | Vatsal Sharan, Sham M. Kakade, Percy Liang, Gregory Valiant |
| 2017 | ACL | From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. | Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang |
| 2017 | ACL | Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings. | He He, Anusha Balakrishnan, Mihail Eric, Percy Liang |
| 2017 | ACL | Naturalizing a Programming Language via Interactive Learning. | Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning |
| 2017 | COLT | A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics. | Yuchen Zhang, Percy Liang, Moses Charikar |
| 2017 | EMNLP | Importance sampling for unbiased on-demand evaluation of knowledge base population. | Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning |
| 2017 | EMNLP | Adversarial Examples for Evaluating Reading Comprehension Systems. | Robin Jia, Percy Liang |
| 2017 | EMNLP | Macro Grammars and Holistic Triggering for Efficient Semantic Parsing. | Yuchen Zhang, Panupong Pasupat, Percy Liang |
| 2017 | ICML | Understanding Black-box Predictions via Influence Functions. | Pang Wei Koh, Percy Liang |
| 2017 | ICML | Developing Bug-Free Machine Learning Systems With Formal Mathematics. | Daniel Selsam, Percy Liang, David L. Dill |
| 2017 | ICML | World of Bits: An Open-Domain Platform for Web-Based Agents. | Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, Percy Liang |
| 2017 | ICML | Convexified Convolutional Neural Networks. | Yuchen Zhang, Percy Liang, Martin J. Wainwright |
| 2017 | PLDI | Synthesizing program input grammars. | Osbert Bastani, Rahul Sharma, Alex Aiken, Percy Liang |
| 2016 | ACL | How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. | Arun Tejasvi Chaganty, Percy Liang |
| 2016 | ACL | Data Recombination for Neural Semantic Parsing. | Robin Jia, Percy Liang |
| 2016 | ACL | Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. | Fereshte Khani, Martin C. Rinard, Percy Liang |
| 2016 | ACL | Simpler Context-Dependent Logical Forms via Model Projections. | Reginald Long, Panupong Pasupat, Percy Liang |
| 2016 | ACL | Inferring Logical Forms From Denotations. | Panupong Pasupat, Percy Liang |
| 2016 | ACL | Learning Language Games through Interaction. | Sida I. Wang, Percy Liang, Christopher D. Manning |
| 2016 | EMNLP | SQuAD: 100, 000+ Questions for Machine Comprehension of Text. | Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang |
| 2016 | ICML | Estimation from Indirect Supervision with Linear Moments. | Aditi Raghunathan, Roy Frostig, John C. Duchi, Percy Liang |
| 2015 | ACL | Environment-Driven Lexicon Induction for High-Level Instructions. | Dipendra Kumar Misra, Kejia Tao, Percy Liang, Ashutosh Saxena |
| 2015 | ACL | Compositional Semantic Parsing on Semi-Structured Tables. | Panupong Pasupat, Percy Liang |
| 2015 | ACL | Building a Semantic Parser Overnight. | Yushi Wang, Jonathan Berant, Percy Liang |
| 2015 | AISTATS | Tensor Factorization via Matrix Factorization. | Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang |
| 2015 | AISTATS | Learning Where to Sample in Structured Prediction. | Tianlin Shi, Jacob Steinhardt, Percy Liang |
| 2015 | EMNLP | Traversing Knowledge Graphs in Vector Space. | Kelvin Guu, John Miller, Percy Liang |
| 2015 | ICML | Reified Context Models. | Jacob Steinhardt, Percy Liang |
| 2015 | ICML | Learning Fast-Mixing Models for Structured Prediction. | Jacob Steinhardt, Percy Liang |
| 2014 | ACL | Semantic Parsing via Paraphrasing. | Jonathan Berant, Percy Liang |
| 2014 | ACL | Zero-shot Entity Extraction from Web Pages. | Panupong Pasupat, Percy Liang |
| 2014 | ECCV | Linking People in Videos with "Their" Names Using Coreference Resolution. | Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei |
| 2014 | ICML | Estimating Latent-Variable Graphical Models using Moments and Likelihoods. | Arun Tejasvi Chaganty, Percy Liang |
| 2014 | ICML | Filtering with Abstract Particles. | Jacob Steinhardt, Percy Liang |
| 2014 | ICML | Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm. | Jacob Steinhardt, Percy Liang |
| 2013 | EMNLP | Semantic Parsing on Freebase from Question-Answer Pairs. | Jonathan Berant, Andrew Chou, Roy Frostig, Percy Liang |
| 2013 | EMNLP | Feature Noising for Log-Linear Structured Prediction. | Sida Wang, Mengqiu Wang, Stefan Wager, Percy Liang, Christopher D. Manning |
| 2013 | ESOP | A Data Driven Approach for Algebraic Loop Invariants. | Rahul Sharma, Saurabh Gupta, Bharath Hariharan, Alex Aiken, Percy Liang, Aditya V. Nori |
| 2013 | ICCV | Video Event Understanding Using Natural Language Descriptions. | Vignesh Ramanathan, Percy Liang, Li Fei-Fei |
| 2013 | ICML | Spectral Experts for Estimating Mixtures of Linear Regressions. | Arun Tejasvi Chaganty, Percy Liang |
| 2011 | ACL | Learning Dependency-Based Compositional Semantics. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2011 | PLDI | Scaling abstraction refinement via pruning. | Percy Liang, Mayur Naik |
| 2011 | POPL | Learning minimal abstractions. | Percy Liang, Omer Tripp, Mayur Naik |
| 2010 | EMNLP | A Simple Domain-Independent Probabilistic Approach to Generation. | Gabor Angeli, Percy Liang, Dan Klein |
| 2010 | EMNLP | A Game-Theoretic Approach to Generating Spatial Descriptions. | Dave Golland, Percy Liang, Dan Klein |
| 2010 | ICML | Learning Programs: A Hierarchical Bayesian Approach. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2010 | ICML | On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning. | Percy Liang, Nati Srebro |
| 2010 | NAACL | Type-Based MCMC. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2010 | OOPSLA | A dynamic evaluation of the precision of static heap abstractions. | Percy Liang, Omer Tripp, Mayur Naik, Mooly Sagiv |
| 2009 | ACL | Learning Semantic Correspondences with Less Supervision. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2009 | ICML | Learning from measurements in exponential families. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2009 | NAACL | Online EM for Unsupervised Models. | Percy Liang, Dan Klein |
| 2008 | ACL | Learning Bilingual Lexicons from Monolingual Corpora. | Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein |
| 2008 | ACL | Analyzing the Errors of Unsupervised Learning. | Percy Liang, Dan Klein |
| 2008 | ICML | Structure compilation: trading structure for features. | Percy Liang, Hal Daum III, Dan Klein |
| 2008 | ICML | An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators. | Percy Liang, Michael I. Jordan |
| 2007 | EMNLP | A Probabilistic Approach to Diachronic Phonology. | Alexandre Bouchard-Ct, Percy Liang, Thomas Griffiths, Dan Klein |
| 2007 | EMNLP | The Infinite PCFG Using Hierarchical Dirichlet Processes. | Percy Liang, Slav Petrov, Michael I. Jordan, Dan Klein |
| 2007 | ICML | A permutation-augmented sampler for DP mixture models. | Percy Liang, Michael I. Jordan, Benjamin Taskar |
| 2006 | ACL | An End-to-End Discriminative Approach to Machine Translation. | Percy Liang, Alexandre Bouchard-Ct, Dan Klein, Benjamin Taskar |
| 2006 | NAACL | Alignment by Agreement. | Percy Liang, Benjamin Taskar, Dan Klein |
| 2005 | ICCV | Learning Non-Generative Grammatical Models for Document Analysis. | Michael Shilman, Percy Liang, Paul A. Viola |
| 2005 | ICDAR | Efficient Geometric Algorithms for Parsing in Two Dimensions. | Percy Liang, Mukund Narasimhan, Michael Shilman, Paul A. Viola |