Ximing Lu

116 papers A* 27Journal 71Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization.
CoRR
Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Peter Belcak, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov
2026 J jnl
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text.
CoRR
Ximing Lu, David Acuna, Jaehun Jung, Jian Hu, Di Zhang, Shizhe Diao, Yunheng Zou, Shaokun Zhang, Brandon Cui, Mingjie Liu, Hyunwoo Kim, Prithviraj Ammanabrolu, Jan Kautz, Yi Dong, Yejin Choi
2026 J jnl
ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents.
CoRR
Hao Zhang, Mingjie Liu, Shaokun Zhang, Song Han, Jian Hu, Zhenghui Jin, Yuchi Zhang, Shizhe Diao, Ximing Lu, Binfeng Xu, Zhiding Yu, Jan Kautz, Yi Dong
2026 J jnl
iGRPO: Self-Feedback-Driven LLM Reasoning.
CoRR
Ali Hatamizadeh, Shrimai Prabhumoye, Igor Gitman, Ximing Lu, Seungju Han, Wei Ping, Yejin Choi, Jan Kautz
2025 A* conf
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text.
ICLR
Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi
2025 J jnl
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation.
CoRR
Yusuke Hirota, Ryo Hachiuma, Boyi Li, Ximing Lu, Michael Ross Boone, Boris Ivanovic, Yejin Choi, Marco Pavone, Yu-Chiang Wang, Noa Garcia, Yuta Nakashima, Chao-Han Huck Yang
2025 J jnl
BroRL: Scaling Reinforcement Learning via Broadened Exploration.
CoRR
Jian Hu, Mingjie Liu, Ximing Lu, Fang Wu, Zaïd Harchaoui, Shizhe Diao, Yejin Choi, Pavlo Molchanov, June Yang, Jan Kautz, Yi Dong
2025 A* conf
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness.
ICLR
Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi
2025 J jnl
CreativityPrism: A Holistic Benchmark for Large Language Model Creativity.
CoRR
Zhaoyi Joey Hou, Bowei Alvin Zhang, Yining Lu, Bhiman Kumar Baghel, Anneliese Brei, Ximing Lu, Meng Jiang, Faeze Brahman, Snigdha Chaturvedi, Haw-Shiuan Chang, Daniel Khashabi, Xiang Lorraine Li
2025 J jnl
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning.
CoRR
Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov
2025 J jnl
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search.
CoRR
Fang Wu, Weihao Xuan, Heli Qi, Ximing Lu, Aaron Tu, Li Erran Li, Yejin Choi
2025 J jnl
Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction.
CoRR
Yong Lin, Shange Tang, Bohan Lyu, Ziran Yang, Jui-Hui Chung, Haoyu Zhao, Lai Jiang, Yihan Geng, Jiawei Ge, Jingruo Sun, Jiayun Wu, Jiri Gesi, Ximing Lu, David Acuna, Kaiyu Yang, Hongzhou Lin, Yejin Choi, Danqi Chen, Sanjeev Arora, Chi Jin
2025 — conf
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models.
NAACL (Long Papers)
Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Maria Antoniak, Bill Yuchen Lin, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi
2025 J jnl
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models.
CoRR
Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Yuchen Lin, Maria Antoniak, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi
2025 J jnl
Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale.
CoRR
David Acuna, Chao-Han Huck Yang, Yuntian Deng, Jaehun Jung, Ximing Lu, Prithviraj Ammanabrolu, Hyunwoo Kim, Yuan-Hong Liao, Yejin Choi
2025 J jnl
Multi-Attribute Constraint Satisfaction via Language Model Rewriting.
Trans. Mach. Learn. Res.
Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark O. Riedl, Maarten Sap
2025 J jnl
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning.
CoRR
Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostafa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi
2025 J jnl
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.
CoRR
Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan Kautz, Yi Dong
2025 J jnl
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge.
CoRR
Zhilin Wang, Jaehun Jung, Ximing Lu, Shizhe Diao, Ellie Evans, Jiaqi Zeng, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong
2025 J jnl
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning.
CoRR
Ximing Lu, Seungju Han, David Acuna, Hyunwoo Kim, Jaehun Jung, Shrimai Prabhumoye, Niklas Muennighoff, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi
2025 J jnl
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training.
CoRR
Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong
2025 A* conf
Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions.
EMNLP
David Acuna, Ximing Lu, Jaehun Jung, Hyunwoo Kim, Amlan Kar, Sanja Fidler, Yejin Choi
2025 J jnl
Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions.
CoRR
David Acuna, Ximing Lu, Jaehun Jung, Hyunwoo Kim, Amlan Kar, Sanja Fidler, Yejin Choi
2025 A* conf
Synthetic Visual Genome.
CVPR
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, Ranjay Krishna
2025 J jnl
Synthetic Visual Genome.
CoRR
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, Ranjay Krishna
2025 J jnl
The Invisible Leash: Why RLVR May Not Escape Its Origin.
CoRR
Fang Wu, Weihao Xuan, Ximing Lu, Zaïd Harchaoui, Yejin Choi
2025 J jnl
The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage.
CoRR
Skyler Hallinan, Jaehun Jung, Melanie Sclar, Ximing Lu, Abhilasha Ravichander, Sahana Ramnath, Yejin Choi, Sai Praneeth Karimireddy, Niloofar Mireshghallah, Xiang Ren
2025 J jnl
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration.
CoRR
Hongjin Su, Shizhe Diao, Ximing Lu, Mingjie Liu, Jiacheng Xu, Xin Dong, Yonggan Fu, Peter Belcak, Hanrong Ye, Hongxu Yin, Yi Dong, Evelina Bakhturina, Tao Yu, Yejin Choi, Jan Kautz, Pavlo Molchanov
2025 J jnl
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers.
CoRR
Wooseok Seo, Seungju Han, Jaehun Jung, Benjamin Newman, Seungwon Lim, Seungbeen Lee, Ximing Lu, Ye Jin Choi, Youngjae Yu
2024 J jnl
A Roadmap to Pluralistic Alignment.
CoRR
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
2024 J jnl
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text.
CoRR
Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi
2024 J jnl
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness.
CoRR
Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi
2024 J jnl
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions.
CoRR
Xuhui Zhou, Hyunwoo Kim, Faeze Brahman, Liwei Jiang, Hao Zhu, Ximing Lu, Frank Xu, Bill Yuchen Lin, Yejin Choi, Niloofar Mireshghallah, Ronan Le Bras, Maarten Sap
2024 — conf
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models.
EMNLP (Findings)
Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
2024 J jnl
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models.
CoRR
Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
2024 — conf
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model.
NAACL-HLT
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
2024 A* conf
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search.
EMNLP
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren
2024 J jnl
Information-Theoretic Distillation for Reference-less Summarization.
CoRR
Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi
2024 — conf
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models.
NAACL-HLT
Jillian Fisher, Ximing Lu, Jaehun Jung, Liwei Jiang, Zaïd Harchaoui, Yejin Choi
2024 J jnl
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models.
CoRR
Jillian Fisher, Ximing Lu, Jaehun Jung, Liwei Jiang, Zaïd Harchaoui, Yejin Choi
2024 A* conf
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models.
ICLR
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
2024 J jnl
Multi-Attribute Constraint Satisfaction via Language Model Rewriting.
CoRR
Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark O. Riedl, Maarten Sap
2024 A* conf
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
ICLR
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
2024 A* conf
Position: A Roadmap to Pluralistic Alignment.
ICML
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
2024 A* conf
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements.
EMNLP
Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L. Gordon, Zaïd Harchaoui, Yejin Choi
2024 J jnl
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements.
CoRR
Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L. Gordon, Zaïd Harchaoui, Yejin Choi
2024 A* conf
Tailoring Self-Rationalizers with Multi-Reward Distillation.
ICLR
Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
2024 A* conf
The Generative AI Paradox: "What It Can Create, It May Not Understand".
ICLR
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, Allyson Ettinger, Yejin Choi
2024 A* conf
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.
ICLR
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi
2024 A* conf
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties.
AAAI
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, Yejin Choi
2024 A* conf
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.
NeurIPS
Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
2024 J jnl
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.
CoRR
Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
2023 — conf
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations.
ACL (1)
Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula
2023 A* conf
Faith and Fate: Limits of Transformers on Compositionality.
NeurIPS
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi
2023 J jnl
Faith and Fate: Limits of Transformers on Compositionality.
CoRR
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi
2023 A* conf
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.
CVPR
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi
2023 A* conf
Generating Sequences by Learning to Self-Correct.
ICLR
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
2023 — conf
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
ACL (1)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2023 J jnl
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing.
CoRR
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
2023 J jnl
Improving Language Models with Advantage-based Offline Policy Gradients.
CoRR
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
2023 J jnl
In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search.
CoRR
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren
2023 A* conf
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.
EMNLP
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, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi
2023 J jnl
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.
CoRR
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi
2023 A* conf
Localized Symbolic Knowledge Distillation for Visual Commonsense Models.
NeurIPS
Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
2023 J jnl
Localized Symbolic Knowledge Distillation for Visual Commonsense Models.
CoRR
Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
2023 — conf
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.
EMNLP (Findings)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
2023 J jnl
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.
CoRR
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
2023 J jnl
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
CoRR
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
2023 A* conf
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.
EMNLP
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi
2023 — conf
STEER: Unified Style Transfer with Expert Reinforcement.
EMNLP (Findings)
Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi
2023 J jnl
STEER: Unified Style Transfer with Expert Reinforcement.
CoRR
Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi
2023 J jnl
Tailoring Self-Rationalizers with Multi-Reward Distillation.
CoRR
Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
2023 J jnl
The Generative AI Paradox: "What It Can Create, It May Not Understand".
CoRR
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, Allyson Ettinger, Yejin Choi
2023 J jnl
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.
CoRR
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi
2023 J jnl
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties.
CoRR
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, Yejin Choi
2022 — conf
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.
NAACL-HLT
Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
2022 J jnl
End-to-End diagnosis of breast biopsy images with transformers.
Medical Image Anal.
Sachin Mehta, Ximing Lu, Wenjun Wu, Donald L. Weaver, Hannaneh Hajishirzi, Joann G. Elmore, Linda G. Shapiro
2022 — conf
Generated Knowledge Prompting for Commonsense Reasoning.
ACL (1)
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
2022 J jnl
Generating Sequences by Learning to Self-Correct.
CoRR
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
2022 J jnl
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
CoRR
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2022 A* conf
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.
CVPR
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022 J jnl
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound.
CoRR
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022 J jnl
Multimodal Knowledge Alignment with Reinforcement Learning.
CoRR
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi
2022 A* conf
NaturalProver: Grounded Mathematical Proof Generation with Language Models.
NeurIPS
Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi
2022 J jnl
NaturalProver: Grounded Mathematical Proof Generation with Language Models.
CoRR
Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi
2022 — conf
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.
NAACL-HLT
Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi
2022 A* conf
ProsocialDialog: A Prosocial Backbone for Conversational Agents.
EMNLP
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
2022 J jnl
ProsocialDialog: A Prosocial Backbone for Conversational Agents.
CoRR
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
2022 A* conf
QUARK: Controllable Text Generation with Reinforced Unlearning.
NeurIPS
Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
2022 J jnl
Quark: Controllable Text Generation with Reinforced Unlearning.
CoRR
Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
2022 A* conf
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering.
EMNLP
Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi
2022 J jnl
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering.
CoRR
Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi
2022 J jnl
Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations.
CoRR
Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula
2022 J jnl
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.
CoRR
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi
2022 — conf
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.
NAACL-HLT
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
2022 A* conf
Twist Decoding: Diverse Generators Guide Each Other.
EMNLP
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith
2022 J jnl
Twist Decoding: Diverse Generators Guide Each Other.
CoRR
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith
2021 — conf
Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images.
BHI
Ximing Lu, Sachin Mehta, Tad T. Brunyé, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
2021 — conf
Analyzing Commonsense Emergence in Few-shot Knowledge Models.
AKBC
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
2021 J jnl
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.
CoRR
Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
2021 — conf
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts.
ACL/IJCNLP (1)
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
2021 J jnl
Generated Knowledge Prompting for Commonsense Reasoning.
CoRR
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
2021 A* conf
MERLOT: Multimodal Neural Script Knowledge Models.
NeurIPS
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
2021 J jnl
MERLOT: Multimodal Neural Script Knowledge Models.
CoRR
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
2021 J jnl
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.
CoRR
Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi
2021 — conf
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.
NAACL-HLT
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 J jnl
On-the-Fly Attention Modularization for Neural Generation.
CoRR
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
2021 — conf
On-the-Fly Attention Modulation for Neural Generation.
ACL/IJCNLP (Findings)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
2021 J jnl
On-the-Fly Controlled Text Generation with Experts and Anti-Experts.
CoRR
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
2021 — conf
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models.
ACL/IJCNLP (1)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
2021 J jnl
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.
CoRR
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
2021 J jnl
Understanding Few-Shot Commonsense Knowledge Models.
CoRR
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
2020 J jnl
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images.
CoRR
Sachin Mehta, Ximing Lu, Donald L. Weaver, Joann G. Elmore, Hannaneh Hajishirzi, Linda G. Shapiro
2020 J jnl
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.
CoRR
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020 J jnl
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning.
CoRR
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
2011 J jnl
The Design of Portable Integration Strengthening Machine.
Int. J. Adv. Pervasive Ubiquitous Comput.
Li Yuan, Ximing Lu, Ruifang Huang