| 2024 | ACL | Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends. | Sanjana Ramprasad, Elisa Ferracane, Zachary C. Lipton |
| 2024 | AIES | Red-Teaming for Generative AI: Silver Bullet or Security Theater? | Michael Feffer, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, Hoda Heidari |
| 2024 | AISTATS | Auditing Fairness under Unobserved Confounding. | Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder |
| 2024 | AISTATS | Timing as an Action: Learning When to Observe and Act. | Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton |
| 2024 | ALT | Partially Interpretable Models with Guarantees on Coverage and Accuracy. | Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz |
| 2024 | CVPR | Scaling Laws for Data Filtering - Data Curation Cannot be Compute Agnostic. | Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter |
| 2024 | EACL | Goodhart's Law Applies to NLP's Explanation Benchmarks. | Jennifer Hsia, Danish Pruthi, Aarti Singh, Zachary C. Lipton |
| 2024 | EACL | Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. | Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace |
| 2024 | EMNLP | Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? | Daniel P. Jeong, Saurabh Garg, Zachary C. Lipton, Michael Oberst |
| 2023 | AAAI | Moral Machine or Tyranny of the Majority? | Michael Feffer, Hoda Heidari, Zachary C. Lipton |
| 2023 | ACL | Downstream Datasets Make Surprisingly Good Pretraining Corpora. | Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton |
| 2023 | AIES | From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research. | Michael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari |
| 2023 | AISTATS | Domain Adaptation under Missingness Shift. | Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton |
| 2023 | CHI | A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits. | Liu Leqi, Giulio Zhou, Fatma Kilin-Karzan, Zachary C. Lipton, Alan L. Montgomery |
| 2023 | EMNLP | USB: A Unified Summarization Benchmark Across Tasks and Domains. | Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton |
| 2023 | EMNLP | Model-tuning Via Prompts Makes NLP Models Adversarially Robust. | Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi |
| 2023 | IJCNLP | Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis. | Jacob Tyo, Bhuwan Dhingra, Zachary C. Lipton |
| 2023 | UAI | Risk-limiting financial audits via weighted sampling without replacement. | Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas |
| 2022 | AAAI | Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. | Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig |
| 2022 | AAAI | Modeling Attrition in Recommender Systems with Departing Bandits. | Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour |
| 2022 | AISTATS | Off-Policy Risk Assessment for Markov Decision Processes. | Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli |
| 2022 | AMIA | Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. | Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss |
| 2022 | CogSci | Homophily and Incentive Effects in Use of Algorithms. | Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks |
| 2022 | ICML | Supervised Learning with General Risk Functionals. | Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli |
| 2021 | AAAI | Symbolic Music Generation with Transformer-GANs. | Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola |
| 2021 | ACL | On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. | Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih |
| 2021 | ACL | Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques. | Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton |
| 2021 | AIES | Fair Machine Learning Under Partial Compliance. | Jessica Dai, Sina Fazelpour, Zachary C. Lipton |
| 2021 | AIES | On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes. | Riccardo Fogliato, Alice Xiang, Zachary C. Lipton, Daniel Nagin, Alexandra Chouldechova |
| 2021 | AMIA | Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data. | Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton |
| 2021 | EMNLP | Does Pretraining for Summarization Require Knowledge Transfer? | Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton |
| 2021 | EMNLP | Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. | David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace |
| 2021 | ICML | RATT: Leveraging Unlabeled Data to Guarantee Generalization. | Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton |
| 2021 | ICML | On Proximal Policy Optimization's Heavy-tailed Gradients. | Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar |
| 2021 | ICML | Correcting Exposure Bias for Link Recommendation. | Shantanu Gupta, Hao Wang, Zachary C. Lipton, Yuyang Wang |
| 2021 | UAI | Estimating treatment effects with observed confounders and mediators. | Shantanu Gupta, Zachary C. Lipton, David Childers |
| 2020 | ACL | Learning to Deceive with Attention-Based Explanations. | Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton |
| 2020 | AIES | Algorithmic Fairness from a Non-ideal Perspective. | Sina Fazelpour, Zachary C. Lipton |
| 2020 | AIME | Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. | Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss |
| 2020 | EMNLP | Weakly- and Semi-supervised Evidence Extraction. | Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton |
| 2020 | EMNLP | On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment. | Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov |
| 2020 | ICML | Uncertainty-Aware Lookahead Factor Models for Quantitative Investing. | Lakshay Chauhan, John Alberg, Zachary C. Lipton |
| 2020 | SIGMOD | SIGMOD 2020 Tutorial on Fairness and Bias in Peer Review and Other Sociotechnical Intelligent Systems. | Nihar B. Shah, Zachary C. Lipton |
| 2020 | WSDM | Machine Learning for Healthcare: Beyond i.i.d. Prediction. | Zachary C. Lipton |
| 2019 | ACL | Combating Adversarial Misspellings with Robust Word Recognition. | Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton |
| 2019 | EMNLP | Entity Projection via Machine Translation for Cross-Lingual NER. | Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton |
| 2019 | EMNLP | Practical Obstacles to Deploying Active Learning. | David Lowell, Zachary C. Lipton, Byron C. Wallace |
| 2019 | ICLR | Active Learning with Partial Feedback. | Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan |
| 2019 | ICLR | Learning Robust Representations by Projecting Superficial Statistics Out. | Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing |
| 2019 | ICML | Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment. | Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton |
| 2019 | IJCAI | AmazonQA: A Review-Based Question Answering Task. | Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton |
| 2018 | AAAI | BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems. | Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng |
| 2018 | EMNLP | How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks. | Divyansh Kaushik, Zachary C. Lipton |
| 2018 | EMNLP | Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study. | Aditya Siddhant, Zachary C. Lipton |
| 2018 | ICLR | Stochastic Activation Pruning for Robust Adversarial Defense. | Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Animashree Anandkumar |
| 2018 | ICLR | Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. | Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian J. McAuley |
| 2018 | ICLR | Learning From Noisy Singly-labeled Data. | Ashish Khetan, Zachary C. Lipton, Animashree Anandkumar |
| 2018 | ICLR | Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders. | Nathan H. Ng, Julian J. McAuley, Julian Gingold, Nina Desai, Zachary C. Lipton |
| 2018 | ICLR | Deep Active Learning for Named Entity Recognition. | Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar |
| 2018 | ICML | Detecting and Correcting for Label Shift with Black Box Predictors. | Zachary C. Lipton, Yu-Xiang Wang, Alexander J. Smola |
| 2017 | CVPR | Tensor Contraction Layers for Parsimonious Deep Nets. | Jean Kossaifi, Aran Khanna, Zachary C. Lipton, Tommaso Furlanello, Anima Anandkumar |
| 2017 | ICLR | Dance Dance Convolution. | Chris Donahue, Zachary C. Lipton, Julian J. McAuley |
| 2017 | ICLR | Precise Recovery of Latent Vectors from Generative Adversarial Networks. | Zachary C. Lipton, Subarna Tripathi |
| 2017 | ICML | Dance Dance Convolution. | Chris Donahue, Zachary C. Lipton, Julian J. McAuley |
| 2017 | IJCNLP | Estimating Reactions and Recommending Products with Generative Models of Reviews. | Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley |
| 2016 | BMVC | Context Matters: Refining Object Detection in Video with Recurrent Neural Networks. | Subarna Tripathi, Zachary C. Lipton, Serge J. Belongie, Truong Q. Nguyen |