The Design of Portable Integration Strengthening Machine. - Li Yuan; Ximing Lu; Ruifang Huang (Int. J. Adv. Pervasive Ubiquitous Comput., 2011)

HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images. - Sachin Mehta; Ximing Lu; Donald L. Weaver; Joann G. Elmore; Hannaneh Hajishirzi; Linda G. Shapiro (CoRR, 2020)

Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. - Peter West; Ximing Lu; Ari Holtzman; Chandra Bhagavatula; Jena D. Hwang; Yejin Choi 001 (CoRR, 2020)

On-the-Fly Attention Modulation for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; Yejin Choi 001 (ACL/IJCNLP (Findings), 2021)

DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. - Alisa Liu; Maarten Sap; Ximing Lu; Swabha Swayamdipta; Chandra Bhagavatula; Noah A. Smith; Yejin Choi 001 (ACL/IJCNLP (1), 2021)

Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. - Peter West; Ximing Lu; Ari Holtzman; Chandra Bhagavatula; Jena D. Hwang; Yejin Choi 001 (ACL/IJCNLP (1), 2021)

Analyzing Commonsense Emergence in Few-shot Knowledge Models. - Jeff Da; Ronan Le Bras 001; Ximing Lu; Yejin Choi 001; Antoine Bosselut (AKBC, 2021)

Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images. - Ximing Lu; Sachin Mehta; Tad T. Brunyé; Donald L. Weaver; Joann G. Elmore; Linda G. Shapiro (BHI, 2021)

NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. - Ximing Lu; Peter West; Rowan Zellers; Ronan Le Bras 001; Chandra Bhagavatula; Yejin Choi 001 (NAACL-HLT, 2021)

MERLOT: Multimodal Neural Script Knowledge Models. - Rowan Zellers; Ximing Lu; Jack Hessel; Youngjae Yu; Jae Sung Park; Jize Cao; Ali Farhadi; Yejin Choi 001 (NeurIPS, 2021)

Understanding Few-Shot Commonsense Knowledge Models. - Jeff Da; Ronan Le Bras 001; Ximing Lu; Yejin Choi 001; Antoine Bosselut (CoRR, 2021)

On-the-Fly Attention Modularization for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; Yejin Choi 001 (CoRR, 2021)

On-the-Fly Controlled Text Generation with Experts and Anti-Experts. - Alisa Liu; Maarten Sap; Ximing Lu; Swabha Swayamdipta; Chandra Bhagavatula; Noah A. Smith; Yejin Choi 001 (CoRR, 2021)

Generated Knowledge Prompting for Commonsense Reasoning. - Jiacheng Liu 010; Alisa Liu; Ximing Lu; Sean Welleck; Peter West; Ronan Le Bras 001; Yejin Choi 001; Hannaneh Hajishirzi (ACL (1), 2022)

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. - Rowan Zellers; Jiasen Lu; Ximing Lu; Youngjae Yu; Yanpeng Zhao; Mohammadreza Salehi; Aditya Kusupati; Jack Hessel; Ali Farhadi; Yejin Choi 001 (CVPR, 2022)

ProsocialDialog: A Prosocial Backbone for Conversational Agents. - Hyunwoo Kim 002; Youngjae Yu; Liwei Jiang; Ximing Lu; Daniel Khashabi; Gunhee Kim; Yejin Choi 001; Maarten Sap (EMNLP, 2022)

Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. - Jiacheng Liu 010; Skyler Hallinan; Ximing Lu; Pengfei He; Sean Welleck; Hannaneh Hajishirzi; Yejin Choi 001 (EMNLP, 2022)

Twist Decoding: Diverse Generators Guide Each Other. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Hao Peng 009; Ximing Lu; Dragomir Radev; Yejin Choi 001; Noah A. Smith (EMNLP, 2022)

NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. - Ximing Lu; Sean Welleck; Peter West; Liwei Jiang; Jungo Kasai; Daniel Khashabi; Ronan Le Bras 001; Lianhui Qin; Youngjae Yu; Rowan Zellers; Noah A. Smith; Yejin Choi 001 (NAACL-HLT, 2022)

Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. - Peter West; Chandra Bhagavatula; Jack Hessel; Jena D. Hwang; Liwei Jiang; Ronan Le Bras 001; Ximing Lu; Sean Welleck; Yejin Choi 001 (NAACL-HLT, 2022)

Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. - Yanpeng Zhao; Jack Hessel; Youngjae Yu; Ximing Lu; Rowan Zellers; Yejin Choi 001 (NAACL-HLT, 2022)

QUARK: Controllable Text Generation with Reinforced Unlearning. - Ximing Lu; Sean Welleck; Jack Hessel; Liwei Jiang; Lianhui Qin; Peter West; Prithviraj Ammanabrolu; Yejin Choi 001 (NeurIPS, 2022)

NaturalProver: Grounded Mathematical Proof Generation with Language Models. - Sean Welleck; Jiacheng Liu 010; Ximing Lu; Hannaneh Hajishirzi; Yejin Choi 001 (NeurIPS, 2022)

Multimodal Knowledge Alignment with Reinforcement Learning. - Youngjae Yu; Jiwan Chung; Heeseung Yun; Jack Hessel; Jae Sung Park; Ximing Lu; Prithviraj Ammanabrolu; Rowan Zellers; Ronan Le Bras 001; Gunhee Kim; Yejin Choi 001 (CoRR, 2022)

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. - Chandra Bhagavatula; Jena D. Hwang; Doug Downey; Ronan Le Bras 001; Ximing Lu; Keisuke Sakaguchi; Swabha Swayamdipta; Peter West; Yejin Choi 001 (CoRR, 2022)

Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. - Valentina Pyatkin; Jena D. Hwang; Vivek Srikumar; Ximing Lu; Liwei Jiang; Yejin Choi 001; Chandra Bhagavatula (CoRR, 2022)

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. - Hyunwoo Kim 002; Jack Hessel; Liwei Jiang; Ximing Lu; Youngjae Yu; Pei Zhou; Ronan Le Bras 001; Malihe Alikhani; Gunhee Kim; Maarten Sap; Yejin Choi 001 (CoRR, 2022)

End-to-End diagnosis of breast biopsy images with transformers. - Sachin Mehta; Ximing Lu; Wenjun Wu; Donald L. Weaver; Hannaneh Hajishirzi; Joann G. Elmore; Linda G. Shapiro (Medical Image Anal., 2022)

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. - Chandra Bhagavatula; Jena D. Hwang; Doug Downey; Ronan Le Bras 001; Ximing Lu; Lianhui Qin; Keisuke Sakaguchi; Swabha Swayamdipta; Peter West; Yejin Choi 001 (ACL (1), 2023)

ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. - Valentina Pyatkin; Jena D. Hwang; Vivek Srikumar; Ximing Lu; Liwei Jiang; Yejin Choi 001; Chandra Bhagavatula (ACL (1), 2023)

Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. - Youngjae Yu; Jiwan Chung; Heeseung Yun; Jack Hessel; Jae Sung Park; Ximing Lu; Rowan Zellers; Prithviraj Ammanabrolu; Ronan Le Bras 001; Gunhee Kim; Yejin Choi 001 (CVPR, 2023)

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. - Hyunwoo Kim 002; Jack Hessel; Liwei Jiang; Peter West; Ximing Lu; Youngjae Yu; Pei Zhou; Ronan Le Bras 001; Malihe Alikhani; Gunhee Kim; Maarten Sap; Yejin Choi 001 (EMNLP, 2023)

STEER: Unified Style Transfer with Expert Reinforcement. - Skyler Hallinan; Faeze Brahman; Ximing Lu; Jaehun Jung; Sean Welleck; Yejin Choi 001 (EMNLP (Findings), 2023)

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. - Ximing Lu; Faeze Brahman; Peter West; Jaehun Jung; Khyathi Raghavi Chandu; Abhilasha Ravichander; Prithviraj Ammanabrolu; Liwei Jiang; Sahana Ramnath; Nouha Dziri; Jillian Fisher; Bill Y. Lin; et al. (EMNLP, 2023)

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. - Peter West; Ronan Le Bras 001; Taylor Sorensen; Bill Yuchen Lin; Liwei Jiang; Ximing Lu; Khyathi Raghavi Chandu; Jack Hessel; Ashutosh Baheti; Chandra Bhagavatula; Yejin Choi 001 (EMNLP (Findings), 2023)

Generating Sequences by Learning to Self-Correct. - Sean Welleck; Ximing Lu; Peter West; Faeze Brahman; Tianxiao Shen; Daniel Khashabi; Yejin Choi 001 (ICLR, 2023)

Faith and Fate: Limits of Transformers on Compositionality. - Nouha Dziri; Ximing Lu; Melanie Sclar; Xiang Lorraine Li; Liwei Jiang; Bill Yuchen Lin; Sean Welleck; Peter West; Chandra Bhagavatula; Ronan Le Bras 001; Jena D. Hwang; Soumya Sanyal 001; et al. (NeurIPS, 2023)

Localized Symbolic Knowledge Distillation for Visual Commonsense Models. - Jae Sung Park; Jack Hessel; Khyathi Raghavi Chandu; Paul Pu Liang; Ximing Lu; Peter West; Youngjae Yu; Qiuyuan Huang; Jianfeng Gao 001; Ali Farhadi; Yejin Choi 001 (NeurIPS, 2023)

Improving Language Models with Advantage-based Offline Policy Gradients. - Ashutosh Baheti; Ximing Lu; Faeze Brahman; Ronan Le Bras 001; Maarten Sap; Mark O. Riedl (CoRR, 2023)

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing. - Jaehun Jung; Peter West; Liwei Jiang; Faeze Brahman; Ximing Lu; Jillian Fisher; Taylor Sorensen; Yejin Choi 001 (CoRR, 2023)

In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. - Huihan Li 001; Yuting Ning; Zeyi Liao; Siyuan Wang; Xiang Lorraine Li; Ximing Lu; Faeze Brahman; Wenting Zhao; Yejin Choi 001; Xiang Ren 001 (CoRR, 2023)

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. - Taylor Sorensen; Liwei Jiang; Jena D. Hwang; Sydney Levine; Valentina Pyatkin; Peter West; Nouha Dziri; Ximing Lu; Kavel Rao; Chandra Bhagavatula; Maarten Sap; John Tasioulas; et al. (AAAI, 2024)

In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search. - Huihan Li 001; Yuting Ning; Zeyi Liao; Siyuan Wang; Xiang Li 069; Ximing Lu; Wenting Zhao; Faeze Brahman; Yejin Choi 001; Xiang Ren 001 (EMNLP, 2024)

StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements. - Jillian Fisher; Skyler Hallinan; Ximing Lu; Mitchell L. Gordon; Zaïd Harchaoui; Yejin Choi 001 (EMNLP, 2024)

How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. - Jaeyoung Lee; Ximing Lu; Jack Hessel; Faeze Brahman; Youngjae Yu; Yonatan Bisk; Yejin Choi 001; Saadia Gabriel (EMNLP (Findings), 2024)

Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models. - Ashutosh Baheti; Ximing Lu; Faeze Brahman; Ronan Le Bras 001; Maarten Sap; Mark O. Riedl (ICLR, 2024)

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. - Bill Yuchen Lin; Abhilasha Ravichander; Ximing Lu; Nouha Dziri; Melanie Sclar; Khyathi Raghavi Chandu; Chandra Bhagavatula; Yejin Choi 001 (ICLR, 2024)

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. - Linlu Qiu; Liwei Jiang; Ximing Lu; Melanie Sclar; Valentina Pyatkin; Chandra Bhagavatula; Bailin Wang; Yoon Kim; Yejin Choi 001; Nouha Dziri; Xiang Ren 001 (ICLR, 2024)

Tailoring Self-Rationalizers with Multi-Reward Distillation. - Sahana Ramnath; Brihi Joshi; Skyler Hallinan; Ximing Lu; Liunian Harold Li; Aaron Chan; Jack Hessel; Yejin Choi 001; Xiang Ren 001 (ICLR, 2024)

The Generative AI Paradox: "What It Can Create, It May Not Understand". - Peter West; Ximing Lu; Nouha Dziri; Faeze Brahman; Linjie Li; Jena D. Hwang; Liwei Jiang; Jillian Fisher; Abhilasha Ravichander; Khyathi Raghavi Chandu; Benjamin Newman; Pang Wei Koh; et al. (ICLR, 2024)

Position: A Roadmap to Pluralistic Alignment. - Taylor Sorensen; Jared Moore; Jillian Fisher; Mitchell L. Gordon; Niloofar Mireshghallah; Christopher Michael Rytting; Andre Ye; Liwei Jiang; Ximing Lu; Nouha Dziri; Tim Althoff; Yejin Choi 001 (ICML, 2024)

JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models. - Jillian Fisher; Ximing Lu; Jaehun Jung; Liwei Jiang; Zaïd Harchaoui; Yejin Choi 001 (NAACL-HLT, 2024)

Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. - Jaehun Jung; Peter West; Liwei Jiang; Faeze Brahman; Ximing Lu; Jillian Fisher; Taylor Sorensen; Yejin Choi 001 (NAACL-HLT, 2024)

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. - Liwei Jiang; Kavel Rao; Seungju Han 002; Allyson Ettinger; Faeze Brahman; Sachin Kumar 009; Niloofar Mireshghallah; Ximing Lu; Maarten Sap; Yejin Choi 001; Nouha Dziri (NeurIPS, 2024)

A Roadmap to Pluralistic Alignment. - Taylor Sorensen; Jared Moore; Jillian Fisher; Mitchell L. Gordon; Niloofar Mireshghallah; Christopher Michael Rytting; Andre Ye; Liwei Jiang; Ximing Lu; Nouha Dziri; Tim Althoff; Yejin Choi 001 (CoRR, 2024)

Information-Theoretic Distillation for Reference-less Summarization. - Jaehun Jung; Ximing Lu; Liwei Jiang; Faeze Brahman; Peter West; Pang Wei Koh; Yejin Choi 001 (CoRR, 2024)

Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. - Khyathi Raghavi Chandu; Linjie Li; Anas Awadalla; Ximing Lu; Jae Sung Park; Jack Hessel; Lijuan Wang; Yejin Choi 001 (CoRR, 2024)

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions. - Xuhui Zhou; Hyunwoo Kim 002; Faeze Brahman; Liwei Jiang; Hao Zhu 011; Ximing Lu; Frank Xu; Bill Yuchen Lin; Yejin Choi 001; Niloofar Mireshghallah; Ronan Le Bras 001; Maarten Sap (CoRR, 2024)

Synthetic Visual Genome. - Jae Sung Park; Zixian Ma; Linjie Li; Chenhao Zheng; Cheng-Yu Hsieh; Ximing Lu; Khyathi Raghavi Chandu; Quan Kong; Norimasa Kobori; Ali Farhadi; Yejin Choi 001; Ranjay Krishna (CVPR, 2025)

CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. - Khyathi Raghavi Chandu; Linjie Li; Anas Awadalla; Ximing Lu; Jae Sung Park; Jack Hessel; Lijuan Wang; Yejin Choi 001 (ICLR, 2025)

AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. - Ximing Lu; Melanie Sclar; Skyler Hallinan; Niloofar Mireshghallah; Jiacheng Liu 010; Seungju Han 002; Allyson Ettinger; Liwei Jiang; Khyathi Raghavi Chandu; Nouha Dziri; Yejin Choi 001 (ICLR, 2025)

Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models. - Abhilasha Ravichander; Jillian Fisher; Taylor Sorensen; Ximing Lu; Maria Antoniak; Bill Yuchen Lin; Niloofar Mireshghallah; Chandra Bhagavatula; Yejin Choi 001 (NAACL (Long Papers), 2025)

Multi-Attribute Constraint Satisfaction via Language Model Rewriting. - Ashutosh Baheti; Debanjana Chakraborty; Faeze Brahman; Ronan Le Bras 001; Ximing Lu; Nouha Dziri; Yejin Choi 001; Mark O. Riedl; Maarten Sap (Trans. Mach. Learn. Res., 2025)

Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning. - Ximing Lu; Seungju Han 002; David Acuna; Hyunwoo Kim 002; Jaehun Jung; Shrimai Prabhumoye; Niklas Muennighoff; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi 001 (CoRR, 2025)

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning. - Jaehun Jung; Seungju Han 002; Ximing Lu; Skyler Hallinan; David Acuna; Shrimai Prabhumoye; Mostafa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi 001 (CoRR, 2025)

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models. - Mingjie Liu; Shizhe Diao; Ximing Lu; Jian Hu; Xin Dong 009; Yejin Choi 001; Jan Kautz; Yi Dong (CoRR, 2025)

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions. - David Acuna; Ximing Lu; Jaehun Jung; Hyunwoo Kim 002; Amlan Kar; Sanja Fidler; Yejin Choi 001 (CoRR, 2025)

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers. - Wooseok Seo; Seungju Han 002; Jaehun Jung; Benjamin Newman; Seungwon Lim; Seungbeen Lee; Ximing Lu; Ye Jin Choi 001; Youngjae Yu (CoRR, 2025)

Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training. - Mingjie Liu; Shizhe Diao; Jian Hu; Ximing Lu; Xin Dong 009; Hao Zhang 097; Alexander Bukharin; Shaokun Zhang; Jiaqi Zeng; Makesh Narsimhan Sreedhar; Gerald Shen; David Mosallanezhad; et al. (CoRR, 2025)

The Invisible Leash: Why RLVR May Not Escape Its Origin. - Fang Wu; Weihao Xuan; Ximing Lu; Zaïd Harchaoui; Yejin Choi 001 (CoRR, 2025)

Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction. - Yong Lin; Shange Tang; Bohan Lyu 001; Ziran Yang; Jui-Hui Chung; Haoyu Zhao; Lai Jiang; Yihan Geng; Jiawei Ge 003; Jingruo Sun; Jiayun Wu; Jiri Gesi; et al. (CoRR, 2025)

The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage. - Skyler Hallinan; Jaehun Jung; Melanie Sclar; Ximing Lu; Abhilasha Ravichander; Sahana Ramnath; Yejin Choi 001; Sai Praneeth Karimireddy; Niloofar Mireshghallah; Xiang Ren 001 (CoRR, 2025)