| 2026 | ACL | DRInQ: Evaluating Conversational Implicature with Controlled Context Variation. | Hirona Jacqueline Arai, Xiang Ren |
| 2026 | ACL | Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations. | Keyu He, Tejas Srinivasan, Brihi Joshi, Xiang Ren, Jesse Thomason, Swabha Swayamdipta |
| 2025 | ACL | 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 |
| 2025 | EMNLP | Improving Language Model Personas via Rationalization with Psychological Scaffolds. | Brihi Joshi, Xiang Ren, Swabha Swayamdipta, Rik Koncel-Kedziorski, Tim Paek |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries. | Sahana Ramnath, Anurag Mudgil, Brihi Joshi, Skyler Hallinan, Xiang Ren |
| 2025 | EMNLP | Mixing Inference-time Experts for Enhancing LLM Reasoning. | Soumya Sanyal, Tianyi Xiao, Xiang Ren |
| 2025 | EMNLP | Stepwise Informativeness Search for Improving LLM Reasoning. | Siyuan Wang, Enda Zhao, Xiang Ren |
| 2025 | EMNLP | Rethinking Backdoor Detection Evaluation for Language Models. | Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia |
| 2025 | ICLR | Attributing Culture-Conditioned Generations to Pretraining Corpora. | Huihan Li, Arnav Goel, Keyu He, Xiang Ren |
| 2025 | ICML | Diverging Preferences: When do Annotators Disagree and do Models Know? | Michael J. Q. Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin |
| 2025 | NAACL | CAVE: Controllable Authorship Verification Explanations. | Sahana Ramnath, Kartik Pandey, Elizabeth Boschee, Xiang Ren |
| 2025 | NAACL | 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 |
| 2024 | ACL | Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification. | Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren |
| 2024 | ACL | Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs. | Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren |
| 2024 | ACL | Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. | Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap |
| 2024 | CogSci | Resource-rational moral judgment. | Sarah A. Wu, Xiang Ren, Tobias Gerstenberg, Yejin Choi, Sydney Levine |
| 2024 | EMNLP | 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 Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren |
| 2024 | EMNLP | WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. | Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi |
| 2024 | EMNLP | Symbolic Working Memory Enhances Language Models for Complex Rule Application. | Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | WildChat: 1M ChatGPT Interaction Logs in the Wild. | Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng |
| 2024 | ICML | What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement. | Xisen Jin, Xiang Ren |
| 2024 | IJCNN | Collaborative Multi-Task Representation for Natural Language Understanding. | Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang |
| 2024 | NAACL | Instruction-following Evaluation through Verbalizer Manipulation. | Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin |
| 2024 | NAACL | 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 |
| 2023 | AAAI | On Grounded Planning for Embodied Tasks with Language Models. | Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren |
| 2023 | ACL | 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 |
| 2023 | ACL | BITE: Textual Backdoor Attacks with Iterative Trigger Injection. | Jun Yan, Vansh Gupta, Xiang Ren |
| 2023 | ACL | REV: Information-Theoretic Evaluation of Free-Text Rationales. | Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta |
| 2023 | ACL | LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. | Dongfu Jiang, Xiang Ren, Bill Yuchen Lin |
| 2023 | ACL | 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 |
| 2023 | ACL | XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. | Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren |
| 2023 | ACL | 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, Yejin Choi |
| 2023 | ACL | Cross-lingual Continual Learning. | Meryem M'hamdi, Xiang Ren, Jonathan May |
| 2023 | ACL | SCOTT: Self-Consistent Chain-of-Thought Distillation. | Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren |
| 2023 | ACL | Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models. | Albert Xu, Xiang Ren, Robin Jia |
| 2023 | ACL | FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. | Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi |
| 2023 | ACL | I Cast Detect Thoughts: 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 |
| 2023 | CoRL | 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 |
| 2023 | CVPR | Curriculum Learning for Data-Efficient Vision-Language Alignment. | Tejas Srinivasan, Xiang Ren, Jesse Thomason |
| 2023 | EACL | AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. | Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren |
| 2023 | EMNLP | LLM-driven Instruction Following: Progresses and Concerns. | Wenpeng Yin, Qinyuan Ye, Pengfei Liu, Xiang Ren, Hinrich Schtze |
| 2023 | EMNLP | Exploring Distributional Shifts in Large Language Models for Code Analysis. | Shushan Arakelyan, Rocktim Jyoti Das, Yi Mao, Xiang Ren |
| 2023 | EMNLP | Estimating Large Language Model Capabilities without Labeled Test Data. | Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia |
| 2023 | EMNLP | 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, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi |
| 2023 | EMNLP | How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. | Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia |
| 2023 | ICLR | Dataless Knowledge Fusion by Merging Weights of Language Models. | Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng |
| 2023 | ICLR | PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. | Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2023 | ICWSM | Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks. | Julie Jiang, Xiang Ren, Emilio Ferrara |
| 2023 | WSDM | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu |
| 2022 | ACL | 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 |
| 2022 | ACL | 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 |
| 2022 | ACL | Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. | Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren |
| 2022 | ACL | 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 |
| 2022 | ACL | FaiRR: Faithful and Robust Deductive Reasoning over Natural Language. | Soumya Sanyal, Harman Singh, Xiang Ren |
| 2022 | ACL | 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 |
| 2022 | ACL | Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation. | Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur |
| 2022 | ACL | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu |
| 2022 | EMNLP | RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners. | Soumya Sanyal, Zeyi Liao, Xiang Ren |
| 2022 | EMNLP | Machine Translation Robustness to Natural Asemantic Variation. | Jacob Bremerman, Xiang Ren, Jonathan May |
| 2022 | EMNLP | ER-Test: Evaluating Explanation Regularization Methods for Language Models. | Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren |
| 2022 | EMNLP | Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts. | Qinyuan Ye, Juan Zha, Xiang Ren |
| 2022 | EMNLP | Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. | Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren |
| 2022 | FAST | ctFS: Replacing File Indexing with Hardware Memory Translation through Contiguous File Allocation for Persistent Memory. | Ruibin Li, Xiang Ren, Xu Zhao, Siwei He, Michael Stumm, Ding Yuan |
| 2022 | ICLR | Contextualized Scene Imagination for Generative Commonsense Reasoning. | Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2022 | ICML | 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 |
| 2022 | NAACL | Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. | Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren |
| 2022 | NAACL | FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. | Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr |
| 2022 | NAACL | NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge. | Alexander Spangher, Xiang Ren, Jonathan May, Nanyun Peng |
| 2022 | NAACL | On the Robustness of Reading Comprehension Models to Entity Renaming. | Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren |
| 2022 | NAACL | Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. | Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech |
| 2022 | SIGIR | Assessing Scientific Research Papers with Knowledge Graphs. | Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara |
| 2021 | AAAI | IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. | Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren |
| 2021 | ACL | ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data. | Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren |
| 2021 | ACL | Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. | Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren |
| 2021 | ACL | RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge. | Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren |
| 2021 | ACL | Do Language Models Perform Generalizable Commonsense Inference? | Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2021 | ACL | Learning Contextualized Knowledge Structures for Commonsense Reasoning. | Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren |
| 2021 | ACL | AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. | Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong |
| 2021 | ACL | Learning to Generate Task-Specific Adapters from Task Description. | Qinyuan Ye, Xiang Ren |
| 2021 | EMNLP | Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation. | Mozhdeh Gheini, Xiang Ren, Jonathan May |
| 2021 | EMNLP | ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning. | Rujun Han, Xiang Ren, Nanyun Peng |
| 2021 | EMNLP | Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. | Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren |
| 2021 | EMNLP | MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. | Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz |
| 2021 | EMNLP | RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. | Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren |
| 2021 | EMNLP | Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation. | Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren |
| 2021 | EMNLP | Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. | Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan |
| 2021 | EMNLP | Discretized Integrated Gradients for Explaining Language Models. | Soumya Sanyal, Xiang Ren |
| 2021 | EMNLP | CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. | Qinyuan Ye, Bill Yuchen Lin, Xiang Ren |
| 2021 | EMNLP | On the Influence of Masking Policies in Intermediate Pre-training. | Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa |
| 2021 | EMNLP | Probing Commonsense Explanation in Dialogue Response Generation. | Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren |
| 2021 | EMNLP | RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. | Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren |
| 2021 | ICLR | Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. | Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren |
| 2021 | ICLR | Pre-training Text-to-Text Transformers for Concept-centric Common Sense. | Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Xiang Ren |
| 2021 | IWCMC | SEM-Based Trust Evaluation Model and Algorithm for B2C E-Commerce. | Xiang Ren |
| 2021 | IWCMC | Application of Apriori Association Rules Algorithm to Data Mining Technology to Mining E-commerce Potential Customers. | Xiang Ren |
| 2021 | NAACL | On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. | Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren |
| 2021 | NAACL | Differentiable Open-Ended Commonsense Reasoning. | Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen |
| 2021 | NAACL | X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering. | Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May |
| 2021 | NAACL | TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. | Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han |
| 2021 | SIGCOMM | Semi-automated protocol disambiguation and code generation. | Jane Yen, Tams Lvai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan |
| 2021 | WSDM | Time-Series Event Prediction with Evolutionary State Graph. | Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren |
| 2021 | SIGdial | Commonsense-Focused Dialogues for Response Generation: An Empirical Study. | Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tr |
| 2020 | ACL | Screenplay Quality Assessment: Can We Predict Who Gets Nominated? | Ming-Chang Chiu, Tiantian Feng, Xiang Ren, Shrikanth Narayanan |
| 2020 | ACL | Contextualizing Hate Speech Classifiers with Post-hoc Explanation. | Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren |
| 2020 | ACL | Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. | Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren |
| 2020 | ACL | LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. | Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren |
| 2020 | ACL | TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. | Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren |
| 2020 | ACL | Facet-Aware Evaluation for Extractive Summarization. | Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han |
| 2020 | ECAI | Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. | Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren |
| 2020 | EMNLP | Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora. | Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland, Xiang Ren |
| 2020 | EMNLP | Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. | Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren |
| 2020 | EMNLP | Visually Grounded Continual Learning of Compositional Phrases. | Xisen Jin, Junyi Du, Arka Sadhu, Ram Nevatia, Xiang Ren |
| 2020 | EMNLP | Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. | Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren |
| 2020 | EMNLP | Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. | Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren |
| 2020 | EMNLP | Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models. | Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren |
| 2020 | EMNLP | CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. | Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren |
| 2020 | EMNLP | Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. | Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han |
| 2020 | EMNLP | SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. | Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han |
| 2020 | EMNLP | Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. | Peifeng Wang, Nanyun Peng, Filip Ilievski, Pedro A. Szekely, Xiang Ren |
| 2020 | EMNLP | Teaching Machine Comprehension with Compositional Explanations. | Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren |
| 2020 | ICLR | Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models. | Xisen Jin, Zhongyu Wei, Junyi Du, Xiangyang Xue, Xiang Ren |
| 2020 | ICLR | Learning from Explanations with Neural Execution Tree. | Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren |
| 2020 | IJCAI | Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. | Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren |
| 2020 | IJCAI | Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training. | Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren |
| 2020 | WWW | NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. | Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren |
| 2019 | AAAI | Mining Entity Synonyms with Efficient Neural Set Generation. | Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han |
| 2019 | AAAI | Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. | Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren |
| 2019 | ACL | Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. | Junyi Du, He Jiang, Jiaming Shen, Xiang Ren |
| 2019 | ACL | AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging. | Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan, Xiang Ren |
| 2019 | ACL | KCAT: A Knowledge-Constraint Typing Annotation Tool. | Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu, Xiang Ren |
| 2019 | EMNLP | Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes. | Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo-Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani |
| 2019 | EMNLP | Collaborative Policy Learning for Open Knowledge Graph Reasoning. | Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren |
| 2019 | EMNLP | KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. | Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren |
| 2019 | EMNLP | Hierarchical Text Classification with Reinforced Label Assignment. | Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren |
| 2019 | EMNLP | HMEAE: Hierarchical Modular Event Argument Extraction. | Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren |
| 2019 | EMNLP | Learning Dynamic Context Augmentation for Global Entity Linking. | Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren |
| 2019 | EMNLP | Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. | Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren |
| 2019 | KDD | AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization. | Cong Fu, Yonghui Zhang, Deng Cai, Xiang Ren |
| 2019 | KDD | Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. | Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren |
| 2019 | NAACL | Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering. | Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren |
| 2019 | NAACL | Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. | Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang |
| 2019 | WWW | Learning Dual Retrieval Module for Semi-supervised Relation Extraction. | Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren |
| 2019 | WWW | Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. | Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren |
| 2019 | WSDM | Integrating Local Context and Global Cohesiveness for Open Information Extraction. | Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han |
| 2018 | AAAI | Empower Sequence Labeling with Task-Aware Neural Language Model. | Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han |
| 2018 | AAAI | Dynamic Network Embedding by Modeling Triadic Closure Process. | Le-kui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang |
| 2018 | ACL | End-to-End Reinforcement Learning for Automatic Taxonomy Induction. | Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han |
| 2018 | CIKM | Open-Schema Event Profiling for Massive News Corpora. | Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han |
| 2018 | EMNLP | Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. | Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han |
| 2018 | EMNLP | Learning Named Entity Tagger using Domain-Specific Dictionary. | Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han |
| 2018 | ICML | GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. | Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec |
| 2018 | KDD | HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. | Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han |
| 2018 | NAACL | Scalable Construction and Reasoning of Massive Knowledge Bases. | Xiang Ren, Nanyun Peng, William Yang Wang |
| 2018 | WWW | Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. | Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han |
| 2018 | WWW | Open Information Extraction with Global Structure Constraints. | Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han |
| 2018 | WSDM | First Workshop on Knowledge Base Construction, Mining and Reasoning. | Xiang Ren, Craig A. Knoblock, William Yang Wang, Yu Su |
| 2018 | WSDM | Indirect Supervision for Relation Extraction using Question-Answer Pairs. | Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han |
| 2017 | ACL | Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. | Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han |
| 2017 | CIKM | An Attention-based Collaboration Framework for Multi-View Network Representation Learning. | Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han |
| 2017 | EMNLP | Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. | Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han |
| 2017 | KDD | MetaPAD: Meta Pattern Discovery from Massive Text Corpora. | Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han |
| 2017 | KDD | Automatic Synonym Discovery with Knowledge Bases. | Meng Qu, Xiang Ren, Jiawei Han |
| 2017 | WWW | Constructing Structured Information Networks from Massive Text Corpora. | Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han |
| 2017 | WWW | CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. | Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han |
| 2017 | WWW | Recommendation in Context-Rich Environment: An Information Network Analysis Approach. | Yizhou Sun, Hongzhi Yin, Xiang Ren |
| 2017 | SIGMOD | Building Structured Databases of Factual Knowledge from Massive Text Corpora. | Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han |
| 2017 | WSDM | Comparative Document Analysis for Large Text Corpora. | Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han |
| 2017 | SOSP | Pensieve: Non-Intrusive Failure Reproduction for Distributed Systems using the Event Chaining Approach. | Yongle Zhang, Serguei Makarov, Xiang Ren, David Lion, Ding Yuan |
| 2016 | AISTATS | Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates. | Lingxiao Wang, Xiang Ren, Quanquan Gu |
| 2016 | CIKM | FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. | Tarique Siddiqui, Xiang Ren, Aditya G. Parameswaran, Jiawei Han |
| 2016 | EMNLP | AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. | Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han |
| 2016 | KDD | Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. | Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han |
| 2016 | NAACL | Cross-media Event Extraction and Recommendation. | Di Lu, Clare R. Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William A. Wallace, James A. Hendler, Mei Si, Lance M. Kaplan |
| 2016 | WWW | Representing Documents via Latent Keyphrase Inference. | Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han |
| 2016 | WWW | Automatic Entity Recognition and Typing in Massive Text Corpora. | Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han |
| 2016 | SIGMOD | Automatic Entity Recognition and Typing in Massive Text Data. | Xiang Ren, Ahmed El-Kishky, Heng Ji, Jiawei Han |
| 2015 | KDD | Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach. | Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han |
| 2015 | KDD | ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering. | Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R. Voss, Jiawei Han |
| 2015 | WWW | Synonym Discovery for Structured Entities on Heterogeneous Graphs. | Xiang Ren, Tao Cheng |
| 2015 | SIGMOD | Mining Quality Phrases from Massive Text Corpora. | Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han |
| 2014 | KDD | ClusCite: effective citation recommendation by information network-based clustering. | Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, Jiawei Han |
| 2014 | SIGMOD | NewsNetExplorer: automatic construction and exploration of news information networks. | Fangbo Tao, George Brova, Jiawei Han, Heng Ji, Chi Wang, Brandon Norick, Ahmed El-Kishky, Jialu Liu, Xiang Ren, Yizhou Sun |
| 2014 | WSDM | Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts. | Xiang Ren, Yujing Wang, Xiao Yu, Jun Yan, Zheng Chen, Jiawei Han |
| 2014 | WSDM | Personalized entity recommendation: a heterogeneous information network approach. | Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han |
| 2014 | SDM | Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents. | Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, Jiawei Han |
| 2013 | GLOBECOM | Low coherence compressed channel estimation for high mobility MIMO OFDM systems. | Xiang Ren, Wen Chen, Zijian Wang |
| 2013 | ICDM | Semantic Frame-Based Document Representation for Comparable Corpora. | Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, Jiawei Han |
| 2013 | RecSys | Recommendation in heterogeneous information networks with implicit user feedback. | Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han |
| 2012 | ECCV | Repairing Sparse Low-Rank Texture. | Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma |
| 2011 | CVPR | A non-convex relaxation approach to sparse dictionary learning. | Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang |
| 2007 | CIS | Personalized Web Search Using User Profile. | Jingqiu Xu, Zhengyu Zhu, Xiang Ren, Yunyan Tian, Ying Luo |
| 2006 | KES | NCO-Tree: A Spatio-temporal Access Method for Segment-Based Tracking of Moving Objects. | Yuelong Zhu, Xiang Ren, Jun Feng |