2025

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
ACL Findings 2025

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

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries
Sahana Ramnath, Anurag Mudgil, Brihi Joshi, Skyler Hallinan, Xiang Ren
EMNLP 2025

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

Can VLMs Recall Factual Associations From Visual References?
Dhananjay Ashok, Ashutosh Chaubey, Hirona J. Arai, Jonathan May, Jesse Thomason
EMNLP Findings 2025

PrimeX: A dataset of worldview, opinion, and explanation
Rik Koncel-Kedziorski, Brihi Joshi, and Tim Paek
EMNLP 2025

Improving Language Model Personas via Rationalization with Psychological Scaffolds
Brihi Joshi, Xiang Ren, Swabha Swayamdipta, Rik Koncel-Kedziorski, Tim Paek
EMNLP Findings 2025

Stepwise Informativeness Search for Efficient and Effective LLM Reasoning
Siyuan Wang, Enda Zhao, Xiang Ren
EMNLP 2025

CAVE: Controllable Authorship Verification Explanations
Sahana Ramnath, Kartik Pandey, Elizabeth Boschee, Xiang Ren
NAACL 2025

Attributing Culture-Conditioned Generations to Pretraining Corpora
Huihan Li, Arnav Goel, Keyu He, Xiang Ren
ICLR 2025

2024

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren
ACL 2024

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren
ACL Findings 2024

CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting
Huihan Li, Liwei Jiang, Nouha Dziri, Xiang Ren, Yejin Choi
COLM 2024

Logits of API-Protected LLMs Leak Proprietary Information
Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
COLM 2024

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

OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta
EMNLP 2024

Symbolic Working Memory Enhances Language Models for Complex Rule Application
Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren
EMNLP 2024

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

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

What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
Xisen Jin, Xiang Ren
ICML 2024

Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
Xiaoyue Xu, Qinyuan Ye, Xiang Ren
NeurIPS 2024

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, Steven Zheng
NeurIPS 2024

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

Instruction-following Evaluation through Verbalizer Manipulation
Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin
NAACL Findings 2024

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

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

PairReranker: Pairwise Learning to Rank for Decoding Language Models
Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
ACL 2023

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

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
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
EMNLP 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

KNIFE: Knowledge Distillation with Free-Text Rationales
Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren
TrustML-(un)Limited@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
  NeurIPS 2022
  Project Website

• NS3: Neuro-Symbolic Semantic Code Search
  Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Antonio Garcia, Xiang Ren
  NeurIPS 2022
  (Also a Spotlight at ICLR 2022 Deep Learning for Code Workshop)
  

• 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)
  

• 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

• 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
  Project website

• 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

2021

• Refining Language Models with Compositional Explanations
  Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
  Conference on Neural Information Processing Systems (NeurIPS) 2021
  spotlight presentation
  (previously at RAI @ICLR 2021)
  Github
  

• SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
  Aaron Chan, Boyuan Long, Jiashu Xu, Soumya Sanyal, Tanishq Gupta, Xiang Ren
  Conference on Neural Information Processing Systems (NeurIPS) 2021
  (previously at XAI@ICML)
  

• Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
  Xisen Jin, Junyi Du, Arka Sadhu, Xiang Ren
  Conference on Neural Information Processing Systems (NeurIPS) 2021
  Previously a contributed talk to LifelongML@ICML) 2020)
  Github

• CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
  Qinyuan Ye, Yuchen Lin, Xiang Ren
  EMNLP 2021
  Github Tweet

• RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
  Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren
  EMNLP 2021
  Project Leaderboard Data Explorer Github

• Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning
  Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren
  Findings of EMNLP 2021
  Github Tweet

• Discretized Integrated Gradients for Explaining Language Models
  Soumya Sanyal, Xiang Ren
  EMNLP 2021
  Github
  

• 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
  EMNLP 2021

• Lawyers are Dishonest? : Quantifying Representational Harms in Commonsense Knowledge Resources
  Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
  EMNLP 2021

• Probing Commonsense Explanation in Dialogue Response Generation
  Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren
  Findings of EMNLP 2021
  Project

• ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning
  Rujun Han, Xiang Ren, Nanyun Peng
  EMNLP 2021
  Github

• Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation
  Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren
  EMNLP 2021
  Github

• Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation
  Mozhdeh Gheini, Xiang Ren, Jonathan May
  EMNLP 2021
  Github

• MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding
  Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
  Findings of EMNLP 2021

• 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
  EMNLP 2021 (short paper)
  Project Github Data Leaderboard

• ForecastQA: A Question Answering Challenge for Event Forecasting
  Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren
  ACL 2021
  Project Data Explorer Leaderboard

• Learning to Generate Task-specific Adapters from Task Description
  Qinyuan Ye, Xiang Ren
  ACL 2021 (short paper)
  

• Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Common Sense Reasoning
  Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren.
  ACL 2021
  

• AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding
  Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong.
  ACL 2021
  

• Learning Contextualized Knowledge Structures for Commonsense Reasoning
  Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren
  Findings of ACL 2021 (An earlier version accepted to KR2ML@ NeurIPS 2020)
  Website

• RiddleSense: A Challenge Dataset for Answering Riddle-Style Commonsense Questions
  Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren.
  Findings of ACL 2021
  Project

• Do Language Models Perform Generalizable Commonsense Inference?
  Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren.
  Findings of ACL 2021
  

• AutoTriggER: 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
  ICLR Workshop on Weakly Supervised Learning (WeaSuL @ICLR) 2021

• Pre-training Text-to-Text Transformers for Concept-centric Common Sense
  Wangchunshu Zhou*, Dong-Ho Lee*, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren
  ICLR 2021 (Previous version in SSL@ NeurIPS 2020)
  Project Code

• Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
  Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
  ICLR 2021
  Best paper runner-up at KR2ML@ NeurIPS 2020

• On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
  Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren
  NAACL 2021

• Differentiable Open-Ended Commonsense Reasoning
  Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
  NAACL 2021

• X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding
  Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May
  NAACL 2021

• TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names
  Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han
  NAACL 2021

• IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
  Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren
  The AAAI Conference on Artificial Intelligence (AAAI), 2021
  Github

• Time-Series Event Prediction with Evolutionary State Graph
  Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren
  WSDM 2021

2020

• Visually Grounded Continual Learning of Compositional Phrases
  Xisen Jin, Junyi Du, Arka Sadhu, Ram Nevatia, Xiang Ren
  EMNLP 2020 (previously at Continual Learning @ICML 2020)
  Project Leaderboard Data Explorer Code

• Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
  Yanlin Feng*, Xinyue Chen*, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren
  EMNLP 2020
  Code

• Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
  Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren
  EMNLP 2020 (Previously at ICLR-RLGM)
  Project Survey on Dynamic Graphs Code

• Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models
  Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren
  EMNLP 2020
  Project Data Leaderboard Code

• Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning
  Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren
  EMNLP 2020
  Code

• Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
  Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han.
  EMNLP 2020
  Code

• SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
  Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han.
  EMNLP 2020
  Code

• Teaching Machine Comprehension with Compositional Explanations
  Qinyuan Ye, Xiao Huang, Xiang Ren
  EMNLP 2020 (Findings). (previously at Human In the Loop Learning@ICML 2020)
  Project Data Explorer Code

• CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
  Bill Yuchen Lin, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
  EMNLP 2020 (Findings). (previously at AKBC 2020)
  Project Data Huggingface Leaderboard Code
  Media coverage: The Register, Tech Xplore, Techzine, Radio.com, ScienceDaily

• Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering
  Peifeng Wang, Nanyun Peng, Pedro Szekely, Xiang Ren
  EMNLP 2020 (Findings)
  Project Notebook Tutorial Code Model checkpoints

• Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora
  Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel McFarland, Xiang Ren
  EMNLP 2020 (Findings)

• Contextualizing Hate Speech Classifiers with Post-hoc Explanation
  Brendan Kennedy*, Xisen Jin*, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren
  ACL 2020
  Project Code
  Media coverage: Digital Trends, ScienceDaily, EurekAlert, Unite.AI, USCViterbi

• Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
  Ouyu Lan*, Xiao Huang*, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren
  ACL 2020
  Code Blog

• Facet-Aware Evaluation for Extractive Summarization
  Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han.
  ACL 2020
  Project Code video

• TriggerNER: Learning with Entity Triggers as Explanation for Named Entity Recognition
  Bill Yuchen Lin*, Dongho Lee*, Ming Shen, Xiao Huang, Ryan Moreno, Prashant Shiralkar, Xiang Ren
  ACL 2020
  Project Code Data

• LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Annotator Explanation
  Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves and Xiang Ren
  ACL 2020
  Project Code

• Neural Rule Grounding for Label-Efficient Relation Extraction
  Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren
  The Web Conference (WWW) 2020
  Best Paper award, Honorable Mention
  Code

• Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
  Sankalp Garg*, Navodita Sharma*, Woojeong Jin, Xiang Ren
  IJCAI 2020
  Code

• Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training
  Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Xiang Ren
  IJCAI 2020
  

• Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models
  Xisen Jin, Junyi Du, Zhongyu Wei, Xiangyang Xue, Xiang Ren
  ICLR 2020 (Spotlight)
  Project Code

• Learning from Explanations with Neural Execution Tree
  Ziqi Wang*, Yujia Qin*, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
  ICLR 2020 (poster)
  Project NExT Code

2019

• KagNet: Learning to Answer Commonsense Questions with Knowledge-Aware Graph Networks
  Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren
  EMNLP 2019 (long)
  Github

• Collaborative Policy Learning for Open Knowledge Graph Reasoning
  Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren,
  EMNLP 2019 (long)
  Github

• Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
  Qinyuan Ye*, Liyuan Liu*, Maosen Zhang, Xiang Ren,
  EMNLP 2019 (long)
  Github

• 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,
  EMNLP 2019 (long)
  Github

• Hierarchical Text Classification with Reinforced Label Assignment
  Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren,
  EMNLP 2019 (long)
  Github

• 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 and Morteza Dehghani,
  EMNLP 2019 (short)
  Github

• HMEAE: Hierarchical Modular Event Argument Extraction
  Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren,
  EMNLP 2019 (short)

• Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis
  Junyi Du, He Jiang, Jiaming Shen, Xiang Ren
  ACL 2019
  Github DICTA system

• AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
  Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan, Xiang Ren
  ACL 2019 (system demo)
  Project Wiki Github Poster

• 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
  ACL 2019 (system demo)

• Posterior-regularized REINFORCE for Instance Selection in Distant Supervision
  Qi Zhang, Siliang Tang, Fei Wu, Siliang Pu, Yueting Zhuang, Xiang Ren
  NAACL 2019
  Github

• Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering
  Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Yueting Zhuang, Xiang Ren
  NAACL 2019
  Github

• A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
  Ziqian Zeng, Wenxuan Zhou, Xin Liu, and Yangqiu Song
  NAACL 2019
  Github

• Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat
  Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren
  KDD 2019
  Github Video

• AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization
  Cong Fu, Yonghui Zhang, Deng Cai, Xiang Ren
  KDD 2019
  Github

• Learning Dual Retrieval Module for Semi-supervised Relation Extraction
  Hongtao Lin, Jun Yan, Qu Meng and Xiang Ren
  The Web Conference (WWW), 2019
  Github PPT slide PDF

• Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
  Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, and Xiang Ren
  The Web Conference (WWW), 2019
  Github

• Mining Entity Synonyms with Efficient Neural Set Generation
  Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, Jiawei Han
  AAAI 2019
  Github Data Slide

• Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction
  Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Fei Wu, Xiang Ren
  AAAI 2019
  Github

• Integrating Local Context and Global Cohesiveness for Open Information Extraction
  Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Hancheng
  WSDM 2019
  Project Github (Best Poster Award runner-up at WWW'18)

2018

• Hierarchical Graph Representation Learning with Differentiable Pooling
  Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec
  Annual Conference on Neural Information Processing Systems (NIPS), 2018
  ArXiv Github (Spotlight at NIPS'18; spotlighted on KDD'18 Deep Learning Day)

• Neural Adaptation Layers for Cross-domain Named Entity Recognition
  Bill Yuchen Lin and Wei Lu
  EMNLP 2018
  

• ExtRA: Extracting Prominent Review Aspects from Customer Feedback
  Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi and Kenny Q. Zhu
  EMNLP 2018
  

• Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
  Lucas Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
  Blog Github

• Learning Named Entity Tagger using Domain-Specific Dictionary
  Jingbo Shang, Lucas Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
  Blog Github

• GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model
  Rex Ying, Jiaxuan You, Xiang Ren, William L. Hamilton, Jure Leskovec
  International Conference on Machine Learning (ICML), 2018
  ArXiv Github

• Mining Cross-Cultural Differences and Similarities in Social Media
  Bill Yuchen Lin, Frank F. Xu, Kenny Q. Zhu and Seung-won Hwang
  ACL 2018
  

• Automatic Extraction of Commonsense LocatedNear Knowledge
  Frank F. Xu, Bill Yuchen Lin and Kenny Q. Zhu
  ACL 2018
  

• End-to-End Reinforcement Learning for Automatic Taxonomy Induction
  Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han
  Annual Meeting of the Association for Computational Linguistics (ACL), 2018
  Github

• 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
  ACM SIGKDD International Conference on Knowledge (KDD), 2018
  Github

• Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
  Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
  International World-Wide Web Conference (WWW), 2018
  Github

• Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees
  Minji Yoon, Woojeong Jin, and U Kang
  WWW 2018.
  Blog

• Open Information Extraction with Global Structure Constraints
  Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank Xu, Jiawei Han
  WWW 2018 (Poster Paper).
  (Best Poster Award runner-up)
  

2017

• Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media
  Bill Y. Lin, Frank F. Xu, Zhiyi Luo and Kenny Q. Zhu
  EMNLP 2017 (Workshop on Noisy User-generated Text)
  

• Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
  Liyuan Liu*, Xiang Ren *, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
  Github Project

• Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences
  Xiang Ren, J. Shen, M. Qu, X. Wang, Z. Wu, Q. Zhu, M. Jiang, F. Tao, S. Sinha, D. Liem, P. Ping, R. Weinshilboum, J. Han
  Annual Meeting of the Association for Computational Linguistics (ACL), 2017. (System demo)

• Automatic Synonym Discovery with Knowledge Bases
  Meng Qu, Xiang Ren, Jiawei Han
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
  Github

• MetaPAD: Meta Patten Discovery from Massive Text Corpora
  Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance Kaplan, Timothy Hanratty, Jiawei Han
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
  Github

• 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
  International World-Wide Web Conference (WWW), 2017
  Github (short version got in SIGMOD 2017 Research Competition finalist)

2016 and earlier

• Cross-region traffic prediction for China on OpenStreetMap
  Frank F. Xu, Bill Y. Lin, Qi Lu, Yifei Huang and Kenny Q. Zhu
  SIGSPATIAL 2016
  

• Personalized Ranking in Signed Networks using Signed Random Walk with Restart
  Jinhong Jung, Woojeong Jin, Lee Sael, and U Kang
  ICDM 2016
  

• AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding
  Xiang Ren *, Wenqi He*, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
  Github Slides *Equal contribution

• Entity Typing: A Critical Step for Mining Structures from Massive Unstructured Text
  Xiang Ren, Wenqi He, Ahmed El-Kishky, Clare R. Voss, Heng Ji, Meng Qu, Jiawei Han
  KDD-MLG 2016
  

• Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
  Xiang Ren *, Wenqi He*, Meng Qu, Heng Ji, Clare R. Voss, Jiawei Han
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016
  Github Video

• FacetGist: Collective Extraction of Document Facets in Large Technical Corpora
  Tarique A. Siddiqui*, Xiang Ren *, Aditya Parameswaran, Jiawei Han
  ACM Conference on Information and Knowledge Management (CIKM), 2016
  

• Representing Documents via Latent Keyphrase Inference
  Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han
  International World-Wide Web Conference (WWW), 2016
  Github

• Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates
  Lingxiao Wang, Xiang Ren, Quanquan Gu
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2016

• 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 Wallace, James Hendler, Mei Si and Lance Kaplan
  The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016
  Demo System

• ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering
  Xiang Ren, A. El-Kishky, C. Wang, F. Tao, C. R. Voss, H. Ji, J. Han
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015
  Github Slides Video
  

• ClusCite: Effective Citation Recommendation by Information Network-Based Clustering
  Xiang Ren, J. Liu, X. Yu, U. Khandelwal, Q. Gu, L. Wang, and J. Han
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014
  code slides PubMed Data DBLP Data

• Heterogeneous Graph-Based Intent Learning from Queries, Web Pages and Wikipedia Concepts
  Xiang Ren, Yujing Wang, Xiao Yu, Jun Yan, Zheng Chen, Jiawei Han
  International Conference on Web Search and Data Mining (WSDM), 2014
  slides

• Personalized Entity Recommendation: A Heterogeneous Information Network Approach
  X. Yu, X. Ren, Y. Sun, Q. Gu, B. Sturt, U. Khandelwal, B. Norick, and J. Han
  International Conference on Web Search and Data Mining (WSDM), 2014
  slides (most cited paper in WSDM'14)

• Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents
  Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, and Jiawei Han
  SIAM International Conference on Data Mining (SDM), 2014

• NewsNetExplorer: Automatic Construction and Exploration of News Information Networks
  Fangbo Tao, Jiawei Han, Heng Ji, George Brova,Chi Wang, Ahmed El-Kishky, Jialu Liu, Xiang Ren , Yizhou Sun
  ACM SIGMOD International Conference on Management of Data (SIGMOD), 2014. (System Demo)
  

• Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures
  Xiang Ren, Zhouchen Lin
  International Journal of Computer Vision (IJCV), 2013
  code
  (Influence Factor: 4.270) *Intern work at Microsoft Asia

• Semantic Frame-Based Document Representation for Comparable Corpora
  Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, and Jiawei Han
  IEEE International Conference on Data Mining (ICDM), 2013
  slides

• HeteRec: Entity Recommendation in Heterogeneous Information Networks with Implicit User Feedback
  X. Yu, X. Ren, Y. Sun, B. Sturt, U. Khandelwal, Q. Gu, B. Norick, and J. Han
  ACM Conference on Recommender Systems (RecSys), 2013

• Repairing Sparse Low Rank Texture
  Xiao Liang, Xiang Ren, Zhengdong Zhang and Yi Ma
  The 14th European Conference on Computer Vision (ECCV), 2012
  *Intern work at Microsoft Asia

• A Non-convex Relaxation Approach to Sparse Dictionary Learning
  Jianping Shi*, Xiang Ren *, Guang Dai, Jingdong Wang and Zhihua Zhang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
  slides (Oral paper, AC rate: 4%) *Equal contribution