Ximing Lu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 77

Top Topics

Symbolic Knowledge

Abductive Reasoning

Question Answer

Top Venues

Publications

Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. CoRR (2024)
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
The Generative AI Paradox: "What It Can Create, It May Not Understand". ICLR (2024)
Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. CoRR (2024)
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
A Roadmap to Pluralistic Alignment. CoRR (2024)
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
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. AAAI (2024)
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models. ICLR (2024)
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. NAACL-HLT (2024)
Jillian Fisher, Ximing Lu, Jaehun Jung, Liwei Jiang, Zaïd Harchaoui, Yejin Choi
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models. NAACL-HLT (2024)
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. ICLR (2024)
Jillian Fisher, Ximing Lu, Jaehun Jung, Liwei Jiang, Zaïd Harchaoui, Yejin Choi
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models. CoRR (2024)
Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. CoRR (2024)
Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
Tailoring Self-Rationalizers with Multi-Reward Distillation. ICLR (2024)
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. ICLR (2024)
Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi
Information-Theoretic Distillation for Reference-less Summarization. CoRR (2024)
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
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR (2023)
Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi
STEER: Unified Style Transfer with Expert Reinforcement. CoRR (2023)
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
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. CoRR (2023)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi 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
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR (2023)
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
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. EMNLP (2023)
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
Faith and Fate: Limits of Transformers on Compositionality. NeurIPS (2023)
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Generating Sequences by Learning to Self-Correct. ICLR (2023)
Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
Tailoring Self-Rationalizers with Multi-Reward Distillation. CoRR (2023)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP (2023)
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. CVPR (2023)
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
Faith and Fate: Limits of Transformers on Compositionality. CoRR (2023)
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. CoRR (2023)
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
Improving Language Models with Advantage-based Offline Policy Gradients. CoRR (2023)
Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. ACL (1) (2023)
Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi
The Generative AI Paradox: "What It Can Create, It May Not Understand". CoRR (2023)
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren
In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. CoRR (2023)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR (2023)
Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi
STEER: Unified Style Transfer with Expert Reinforcement. EMNLP (Findings) (2023)
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS (2023)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. ACL (1) (2023)
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing. CoRR (2023)
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. CoRR (2023)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) (2023)
Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
QUARK: Controllable Text Generation with Reinforced Unlearning. NeurIPS (2022)
Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. NAACL-HLT (2022)
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
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith
Twist Decoding: Diverse Generators Guide Each Other. CoRR (2022)
Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. CoRR (2022)
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. CoRR (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR (2022)
Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. EMNLP (2022)
Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula
Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. CoRR (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith
Twist Decoding: Diverse Generators Guide Each Other. EMNLP (2022)
Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi
NaturalProver: Grounded Mathematical Proof Generation with Language Models. CoRR (2022)
Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi
NaturalProver: Grounded Mathematical Proof Generation with Language Models. NeurIPS (2022)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. CoRR (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR (2022)
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Generating Sequences by Learning to Self-Correct. CoRR (2022)
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi
Multimodal Knowledge Alignment with Reinforcement Learning. CoRR (2022)
Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
Quark: Controllable Text Generation with Reinforced Unlearning. CoRR (2022)
Sachin Mehta, Ximing Lu, Wenjun Wu, Donald L. Weaver, Hannaneh Hajishirzi, Joann G. Elmore, Linda G. Shapiro
End-to-End diagnosis of breast biopsy images with transformers. Medical Image Anal. 79 (2022)
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
Generated Knowledge Prompting for Commonsense Reasoning. ACL (1) (2022)
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
ProsocialDialog: A Prosocial Backbone for Conversational Agents. CoRR (2022)
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
ProsocialDialog: A Prosocial Backbone for Conversational Agents. EMNLP (2022)
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. NAACL-HLT (2022)
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
Generated Knowledge Prompting for Commonsense Reasoning. CoRR (2021)
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
Understanding Few-Shot Commonsense Knowledge Models. CoRR (2021)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. ACL/IJCNLP (1) (2021)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
On-the-Fly Attention Modulation for Neural Generation. ACL/IJCNLP (Findings) (2021)
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
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR (2021)
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
On-the-Fly Controlled Text Generation with Experts and Anti-Experts. CoRR (2021)
Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. CoRR (2021)
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. NAACL-HLT (2021)
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. ACL/IJCNLP (1) (2021)
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
MERLOT: Multimodal Neural Script Knowledge Models. CoRR (2021)
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
MERLOT: Multimodal Neural Script Knowledge Models. NeurIPS (2021)
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
Analyzing Commonsense Emergence in Few-shot Knowledge Models. AKBC (2021)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
On-the-Fly Attention Modularization for Neural Generation. CoRR (2021)
Ximing Lu, Sachin Mehta, Tad T. Brunyé, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images. BHI (2021)
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. CoRR (2021)
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. CoRR (2020)
Sachin Mehta, Ximing Lu, Donald L. Weaver, Joann G. Elmore, Hannaneh Hajishirzi, Linda G. Shapiro
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images. CoRR (2020)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. CoRR (2020)
Li Yuan, Ximing Lu, Ruifang Huang
The Design of Portable Integration Strengthening Machine. Int. J. Adv. Pervasive Ubiquitous Comput. 3 (2) (2011)