Preprint
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ARBOR: Locating Reasoning Failures in Long Chains of Thought through Reasoning State Tracking
Huihan Li, Siyuan Wang, Naga Vamsi Ramana Dinavahi, Xiaohui Liu, Xiang Ren
ArXiv 2026
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Language Model Activations Inhabit Privileged Error-Correcting Basins
Matthew Finlayson, Francisco Pernice, Eric Todd, Amir Zur, Daniel Wurgaft, Fenil R. Doshi, Vasudev Shyam, Matt Feiszli, Satchel Grant, Lucius Bushnaq, Tal Haklay, Usha Bhalla, Matthew Kowal, Thomas Fel, Jack Merullo, Atticus Geiger, Xiang Ren, Owen Lewis, Ekdeep Singh Lubana
ArXiv 2026
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ReLiveGym: Evaluating Long-Lived Agents over Weeks of Replayed Reality
Xisen Jin, Jingheng Li, Zhenglun Chen, Junyi Du, Xiang Ren
ArXiv 2026
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WhiteMatter: All-to-All Cross-Layer Connections via KV Mixing
Wenbo Zhang, Xiang Ren
ArXiv 2026
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Token Rankings are Unforgeable Language Model Signatures
Matthew Finlayson, Andreas Grivas, Xiang Ren, Swabha Swayamdipta
ArXiv 2026
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LATTICE: Evaluating Decision Support Utility of Crypto Agents
Aaron Chan, Tengfei Li, Tianyi Xiao, Angela Chen, Junyi Du, Xiang Ren
ArXiv 2026
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DIAL-SUMMER: A Structured Evaluation Framework of Hierarchical Errors in Dialogue Summaries
Sahana Ramnath, Nima Chitsazan, Mingyang Zhou, Chia-Hsuan Lee, Shi-Xiong Zhang, Stephen Rawls, Sambit Sahu, Sangwoo Cho, Xiang Ren, Genta Indra Winata, Akshaj Kumar Veldanda
ArXiv 2026
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OSGym: Scalable OS Infra for Computer Use Agents
Zengyi Qin, Jinyuan Chen, Yunze Man, Shengcao Cao, Ziqi Pang, Zhuoyuan Wang, Han Fang, Ling Zhu, Zixin Xie, Zibu Wei, Tianshu Ran, Haoran Geng, Ray Pan, Qizhen Sun, Zachary Bright, Yuyang Cai, Chongye Yang, Jiace Zhao, Tianrui Liu, Han Cao, Yeyang Zhou, Rui Wang, Song Wang, Xiang Ren, Bo Zhang, et al.
ArXiv 2025
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REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation
Dong-Ho Lee, Adyasha Maharana, Jay Pujara, Xiang Ren, Francesco Barbieri
ArXiv 2025
GitHub -
How FaR Are Large Language Models From Agents with Theory-of-Mind?
Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui
ArXiv 2023
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DOMINO: A Dual-System for Multi-step Visual Language Reasoning
Peifang Wang, Olga Golovneva, Armen Aghajanyan, Xiang Ren, Muhao Chen, Asli Celikyilmaz, Maryam Fazel-Zarandi
ArXiv 2023
2026
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Translating the Untranslatable: An Operationalizable Ontology for Untranslatability
Jacob Bremerman, Brihi Joshi, Hirona Arai, Xiang Ren, Jonathan May
Findings of EMNLP 2026
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DRInQ: Evaluating Conversational Implicature with Controlled Context Variation
Hirona Jacqueline Arai, Xiang Ren
ACL 2026
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Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations
Keyu He, Tejas Srinivasan, Brihi Joshi, Xiang Ren, Jesse Thomason, Swabha Swayamdipta
ACL 2026
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Proof-of-Guardrail in AI Agents and What (Not) to Trust from It
Xisen Jin, Michael Duan, Qin Lin, Aaron Chan, Zhenglun Chen, Junyi Du, Xiang Ren
AI4GOOD Workshop @ ICML 2026
GitHub -
OpaqueToolsBench: Learning Nuances of Tool Behavior Through Interaction
Skyler Hallinan, Thejas Venkatesh, Xiang Ren, Sai Praneeth Karimireddy, Ashwin Paranjape, Yuhao Zhang, Jack Hessel
ACM Conference on AI and Agentic Systems 2026
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Every Language Model Has a Forgery-Resistant Signature
Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
ICLR 2026
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Lookahead Tree-Based Rollouts for Enhanced Trajectory-Level Exploration in Reinforcement Learning with Verifiable Rewards
Shangyu Xing, Siyuan Wang, Chenyuan Yang, Xinyu Dai, Xiang Ren
ICLR 2026
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Segment-Level Attribution for Selective Learning of Long Reasoning Traces
Siyuan Wang, Yanchen Liu, Xiang Ren
ICLR 2026
GitHub -
Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition
Qinyuan Ye, Robin Jia, Xiang Ren
ICLR 2026
GitHub
2025
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Better Language Model Inversion by Compactly Representing Next-Token Distributions
Murtaza Nazir, Matthew Finlayson, John X. Morris, Xiang Ren, Swabha Swayamdipta
NeurIPS 2025
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Demystifying Language Model Forgetting with Low-rank Example Associations
Xisen Jin, Xiang Ren
NeurIPS 2025
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Stepwise Informativeness Search for Efficient and Effective LLM Reasoning
Siyuan Wang, Enda Zhao, Zhongyu Wei, Xiang Ren
EMNLP 2025
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Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time
Huihan Li, You Chen, Siyuan Wang, Yixin He, Ninareh Mehrabi, Rahul Gupta, Xiang Ren
EMNLP 2025
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Rethinking Backdoor Detection Evaluation for Language Models
Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia
EMNLP 2025
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Mixing Inference-time Experts for Enhancing LLM Reasoning
Soumya Sanyal, Tianyi Xiao, Xiang Ren
EMNLP 2025
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Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries
Sahana Ramnath, Anurag Mudgil, Brihi Joshi, Skyler Hallinan, Xiang Ren
EMNLP 2025
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Improving Language Model Personas via Rationalization with Psychological Scaffolds
Brihi Joshi, Xiang Ren, Swabha Swayamdipta, Rik Koncel-Kedziorski, Tim Paek
Findings of EMNLP 2025
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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, Sai Praneeth Karimireddy, Niloofar Mireshghallah, Xiang Ren
COLM 2025
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Diverging Preferences: When do Annotators Disagree and do Models Know?
Michael JQ Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin
ICML 2025
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ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations
Brihi Joshi, Keyu He, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, Xiang Ren
Findings of ACL 2025
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CAVE: Controllable Authorship Verification Explanations
Sahana Ramnath, Kartik Pandey, Elizabeth Boschee, Xiang Ren
NAACL 2025
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REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap
NAACL 2025
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Attributing Culture-Conditioned Generations to Pretraining Corpora
Huihan Li, Arnav Goel, Keyu He, Xiang Ren
ICLR 2025
2024
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Self-Discover: Large Language Models Self-Compose Reasoning Structures
Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng
NeurIPS 2024
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Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
Xiaoyue Xu, Qinyuan Ye, Xiang Ren
NeurIPS (Datasets and Benchmarks Track) 2024
GitHub Project -
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting
Huihan Li, Liwei Jiang, Jena D. Hwang, Hyunwoo Kim, Sebastin Santy, Taylor Sorensen, Bill Yuchen Lin, Nouha Dziri, Xiang Ren, Yejin Choi
COLM 2024
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Logits of API-Protected LLMs Leak Proprietary Information
Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
COLM 2024
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WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi
EMNLP (Demo Track) 2024
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In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren
EMNLP 2024
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Symbolic Working Memory Enhances Language Models for Complex Rule Application
Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren
EMNLP 2024
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What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
Xisen Jin, Xiang Ren
ICML (Spotlight) 2024
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Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren
ACL 2024
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Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap
ACL 2024
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Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren
Findings of ACL 2024
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Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
NAACL 2024
Project -
Instruction-following Evaluation through Verbalizer Manipulation
Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin
Findings of NAACL 2024
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WildChat: 1M ChatGPT Interaction Logs in the Wild
Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
ICLR (Spotlight) 2024
Project -
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
ICLR 2024
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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, Nouha Dziri, Xiang Ren
ICLR 2024
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Tailoring Self-Rationalizers with Multi-Reward Distillation
Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
ICLR 2024
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WinoViz: Probing Visual Properties of Objects Under Different States
Woojeong Jin, Tejas Srinivasan, Jesse Thomason, Xiang Ren
Insights from Negative Results Workshop @ NAACL 2024
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Resource-rational Moral Judgment
Sarah A. Wu, Xiang Ren, Tobias Gerstenberg, Yejin Choi, Sydney Levine
CogSci 2024
2023
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren
NeurIPS 2023 (Spotlight)
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jian, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, Yejin Choi
NeurIPS 2023 (Spotlight)
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jang, 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
EMNLP 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia
Findings of EMNLP 2023
Estimating Large Language Model Capabilities without Labeled Test Data
Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia
Findings of EMNLP 2023
Exploring Distributional Shifts in Large Language Models for Code Analysis
Shushan Arakelyan, Rocktim Jyoti Das, Yi Mao, Xiang Ren
EMNLP 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J Lim
CORL 2023
Hybrid Forecasting of Geopolitical Events
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andr\'es Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
AI Magzine 2023
KNIFE: Knowledge Distillation with Free-Text Rationales
Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren
TrustML Workshop at ICLR 2023
How New Ideas Diffuse in Science
Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, Daniel McFarland
American Sociological Review 2023
Self-Consistent Chain-of-Thought Distillation
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
ACL 2023
ACL 2023 Outstanding Paper Award
Github
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales
Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
ACL 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi
ACL 2023
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step
Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang and Yejin Choi
ACL 2023
CoNAL: Anticipating Outliers with Large Language Models
Albert Xu, Xiang Ren, Robin Jia
ACL 2023
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
ACL 2023
Website
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
ACL 2023
REV: Information-Theoretic Evaluation of Free-Text Rationales
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
ACL 2023
Textual Backdoor Attacks with Iterative Trigger Injection
Jun Yan, Vansh Gupta, Xiang Ren
ACL 2023
Cross-lingual Lifelong Learning
Meryem M'hamdi, Xiang Ren, Jonathan May
ACL 2023
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
ACL 2023
Dataless Knowledge Fusion by Merging Weights of Language Models
Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng
ICLR 2023
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren
ICLR 2023
On Grounded Planning for Embodied Tasks with Language Models
Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren
AAAI 2023
2022
Unsupervised Cross-Task Generalization via Retrieval Augmentation
Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren
Conference on Neural Information Processing Systems (NeurIPS) 2022
Project
NS3: Neuro-Symbolic Semantic Code Search
Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Antonio Garcia, Xiang Ren
Conference on Neural Information Processing Systems (NeurIPS) 2022
(Also a Spotlight at ICLR 2022 Deep Learning for Code Workshop)
Github
UniREx: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
ICML 2022
(Also at ICLR Workshop on Socially Responsible Machine Learning & ACL Workshop on BigScience)
Github (coming soon)
Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts
Qinyuan Ye, Juan Zha, Xiang Ren
Findings of EMNLP 2022
RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning
Soumya Sanyal, Zeyi Liao, Xiang Ren
EMNLP 2022
Github
ER-Test: Evaluating Explanation Regularization Methods for NLP Models
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
Findings of EMNLP 2022
Github
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality
Pei Zhou, Hyundong J. Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren
EMNLP 2022
Project
Machine Translation Robustness to Natural Asemantic Variation
Jacob Bremerman, Xiang Ren, Jonathan May
EMNLP 2022
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew Arnold, Xiang Ren
NAACL 2022
(also at ACL 2022 Workshop BigScience)
Github (coming soon)
Retweet-BERT: Characterizing Echo Chambers by Leveraging Language Features and Information Diffusion in Social Media
Julie Jiang, Xiang Ren, and Emilio Ferrara
ICWSM 2022
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models
Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
NAACL 2022
FedNLP: A Research Platform for Federated Learning in Natural Language Processing
Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
Findings of NAACL 2022
Github
On the Robustness of Reading Comprehension Models to Entity Renaming
Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren
NAACL 2022
Github
NewsEdits: A Dataset of News Article Revision Histories and a Novel Document-Level Reasoning Challenge
Alexander Spangher, Xiang Ren, Jonathan May, Nanyun Peng
NAACL 2022
Outstanding Paper Award
Github
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
Soumya Sanyal, Harman Singh, Xiang Ren
ACL 2022
Github
A Good Prompt Is Worth Millions of Parameters?: Low-resource Prompt-based Learning for Vision-Language Models
Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren
ACL 2022
Github
Fixing Errors in the Wild: On Continual Model Refinement in Out-of-Distribution Data Streams
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih
ACL 2022
Github (coming soon)
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
Dong-Ho Lee, Mahak Agarwal, Akshen Kadakia, Jay Pujara, Xiang Ren
ACL 2022
Github
Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
ACL 2022
Github (coming soon)
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer
Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
ACL 2022
Github
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
ACL 2022
Contextualized Scene Imagination for Generative Commonsense Reasoning
Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren
ICLR 2022
Github