Commonsense Knowledge Base Completion. - Xiang Li 069; Aynaz Taheri; Lifu Tu; Kevin Gimpel (ACL (1), 2016)

Interactive provenance summaries for reproducible science. - Xiang Li 069; Xiaoyang Xu; Tanu Malik (eScience, 2016)

Improved Representation Learning for Predicting Commonsense Ontologies. - Xiang Li 069; Luke Vilnis; Andrew McCallum (CoRR, 2017)

Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures. - Luke Vilnis; Xiang Li 069; Shikhar Murty; Andrew McCallum (ACL (1), 2018)

Smoothing the Geometry of Probabilistic Box Embeddings. - Xiang Li 069; Luke Vilnis; Dongxu Zhang; Michael Boratko; Andrew McCallum (ICLR, 2019)

Representing Joint Hierarchies with Box Embeddings. - Dhruvesh Patel; Shib Sankar Dasgupta; Michael Boratko; Xiang Li 069; Luke Vilnis; Andrew McCallum (AKBC, 2020)

ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. - Michael Boratko; Xiang Li 069; Tim O'Gorman; Rajarshi Das; Dan Le; Andrew McCallum (EMNLP (1), 2020)

Improving Local Identifiability in Probabilistic Box Embeddings. - Shib Sankar Dasgupta; Michael Boratko; Dongxu Zhang; Luke Vilnis; Xiang Li 069; Andrew McCallum (NeurIPS, 2020)

Reading Comprehension as Natural Language Inference: A Semantic Analysis. - Anshuman Mishra; Dhruvesh Patel; Aparna Vijayakumar; Xiang Li 069; Pavan Kapanipathi; Kartik Talamadupula (*SEM@COLING, 2020)

Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks. - Anshuman Mishra; Dhruvesh Patel; Aparna Vijayakumar; Xiang Li 069; Pavan Kapanipathi; Kartik Talamadupula (CoRR, 2020)

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. - Wenhan Xiong; Xiang Lorraine Li; Srini Iyer 001; Jingfei Du; Patrick Lewis 001; William Yang Wang; Yashar Mehdad; Scott Yih; Sebastian Riedel 001; Douwe Kiela; Barlas Oguz (ICLR, 2021)

Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. - Xuelu Chen; Michael Boratko; Muhao Chen 001; Shib Sankar Dasgupta; Xiang Lorraine Li; Andrew McCallum (NAACL-HLT, 2021)

Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization. - Anshuman Mishra; Dhruvesh Patel; Aparna Vijayakumar; Xiang Lorraine Li; Pavan Kapanipathi; Kartik Talamadupula (NAACL-HLT, 2021)

Box-To-Box Transformations for Modeling Joint Hierarchies. - Shib Sankar Dasgupta; Xiang Lorraine Li; Michael Boratko; Dongxu Zhang; Andrew McCallum (RepL4NLP@ACL-IJCNLP, 2021)

Word2Box: Learning Word Representation Using Box Embeddings. - Shib Sankar Dasgupta; Michael Boratko; Shriya Atmakuri; Xiang Lorraine Li; Dhruvesh Patel; Andrew McCallum (CoRR, 2021)

A Systematic Investigation of Commonsense Understanding in Large Language Models. - Xiang Lorraine Li; Adhiguna Kuncoro; Cyprien de Masson d'Autume; Phil Blunsom; Aida Nematzadeh (CoRR, 2021)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - Jack W. Rae; Sebastian Borgeaud; Trevor Cai; Katie Millican; Jordan Hoffmann; H. Francis Song; John Aslanides; Sarah Henderson; Roman Ring; Susannah Young; Eliza Rutherford; Tom Hennigan; et al. (CoRR, 2021)

Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings. - Shib Sankar Dasgupta; Michael Boratko; Siddhartha Mishra; Shriya Atmakuri; Dhruvesh Patel; Xiang Li 069; Andrew McCallum (ACL (1), 2022)

A Systematic Investigation of Commonsense Knowledge in Large Language Models. - Xiang Lorraine Li; Adhiguna Kuncoro; Jordan Hoffmann; Cyprien de Masson d'Autume; Phil Blunsom; Aida Nematzadeh (EMNLP, 2022)

Editing Common Sense in Transformers. - Anshita Gupta; Debanjan Mondal; Akshay Krishna Sheshadri; Wenlong Zhao 001; Xiang Li 069; Sarah Wiegreffe; Niket Tandon (EMNLP, 2023)

Faith and Fate: Limits of Transformers on Compositionality. - Nouha Dziri; Ximing Lu; Melanie Sclar; Xiang Lorraine Li; Liwei Jiang; Bill Yuchen Lin; Sean Welleck; Peter West; Chandra Bhagavatula; Ronan Le Bras 001; Jena D. Hwang; Soumya Sanyal 001; et al. (NeurIPS, 2023)

Editing Commonsense Knowledge in GPT. - Anshita Gupta; Debanjan Mondal; Akshay Krishna Sheshadri; Wenlong Zhao 001; Xiang Lorraine Li; Sarah Wiegreffe; Niket Tandon (CoRR, 2023)

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. - Faeze Brahman; Chandra Bhagavatula; Valentina Pyatkin; Jena D. Hwang; Xiang Lorraine Li; Hirona Jacqueline Arai; Soumya Sanyal 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (CoRR, 2023)

In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. - Huihan Li 001; Yuting Ning; Zeyi Liao; Siyuan Wang; Xiang Lorraine Li; Ximing Lu; Faeze Brahman; Wenting Zhao; Yejin Choi 001; Xiang Ren 001 (CoRR, 2023)

Every Answer Matters: Evaluating Commonsense with Probabilistic Measures. - Qi Cheng; Michael Boratko; Pranay Kumar Yelugam; Tim O'Gorman; Nalini Singh; Andrew McCallum; Xiang Li 069 (ACL (1), 2024)

Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. - Kyle Buettner; Sina Malakouti; Xiang Lorraine Li; Adriana Kovashka (CVPR, 2024)

In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search. - Huihan Li 001; Yuting Ning; Zeyi Liao; Siyuan Wang; Xiang Li 069; Ximing Lu; Wenting Zhao; Faeze Brahman; Yejin Choi 001; Xiang Ren 001 (EMNLP, 2024)

Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking. - Mohamed Elaraby; Diane J. Litman; Xiang Li 069; Ahmed Magooda (EMNLP (Findings), 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 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (ICLR, 2024)

Planning and Editing What You Retrieve for Enhanced Tool Learning. - Tenghao Huang; Dongwon Jung; Vaibhav Kumar; Mohammad Kachuee; Xiang Li 069; Puyang Xu; Muhao Chen 001 (NAACL-HLT (Findings), 2024)

UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. - Wenting Zhao; Justin T. Chiu; Jena D. Hwang; Faeze Brahman; Jack Hessel; Sanjiban Choudhury; Yejin Choi 001; Xiang Li 069; Alane Suhr (NAACL-HLT, 2024)

Unveiling Confirmation Bias in Chain-of-Thought Reasoning. - Yue Wan; Xiaowei Jia; Xiang Lorraine Li (ACL (Findings), 2025)

Improve LLM-based Automatic Essay Scoring with Linguistic Features. - Zhaoyi Joey Hou; Alejandro Ciuba; Xiang Lorraine Li (CoRR, 2025)

Leveraging Large Models for Evaluating Novel Content: A Case Study on Advertisement Creativity. - Zhaoyi Joey Hou; Adriana Kovashka; Xiang Lorraine Li (CoRR, 2025)

Similarity-Based Domain Adaptation with LLMs. - Jie He 004; Wendi Zhou; Xiang Lorraine Li; Jeff Z. Pan (CoRR, 2025)

Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing. - Bhiman Kumar Baghel; Scott M. Jordan; Zheyuan Ryan Shi; Xiang Lorraine Li (CoRR, 2025)