Xiang Li

19 papers A* 3Journal 4Unranked 12
YearRankTypeTitle / Venue / Authors
2024 — conf
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures.
ACL (1)
Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Li
2024 A* conf
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search.
EMNLP
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren
2024 — conf
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking.
EMNLP (Findings)
Mohamed Elaraby, Diane J. Litman, Xiang Li, Ahmed Magooda
2024 — conf
Planning and Editing What You Retrieve for Enhanced Tool Learning.
NAACL-HLT (Findings)
Tenghao Huang, Dongwon Jung, Vaibhav Kumar, Mohammad Kachuee, Xiang Li, Puyang Xu, Muhao Chen
2024 — conf
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.
NAACL-HLT
Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr
2023 A* conf
Editing Common Sense in Transformers.
EMNLP
Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Li, Sarah Wiegreffe, Niket Tandon
2022 — conf
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings.
ACL (1)
Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra, Shriya Atmakuri, Dhruvesh Patel, Xiang Li, Andrew McCallum
2020 A* conf
Improving Local Identifiability in Probabilistic Box Embeddings.
NeurIPS
Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Li, Andrew McCallum
2020 J jnl
Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks.
CoRR
Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
2020 — conf
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning.
EMNLP (1)
Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum
2020 — conf
Reading Comprehension as Natural Language Inference: A Semantic Analysis.
*SEM@COLING
Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
2020 J jnl
Reading Comprehension as Natural Language Inference: A Semantic Analysis.
CoRR
Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
2020 — conf
Representing Joint Hierarchies with Box Embeddings.
AKBC
Dhruvesh Patel, Shib Sankar Dasgupta, Michael Boratko, Xiang Li, Luke Vilnis, Andrew McCallum
2019 — conf
Smoothing the Geometry of Probabilistic Box Embeddings.
ICLR
Xiang Li, Luke Vilnis, Dongxu Zhang, Michael Boratko, Andrew McCallum
2018 — conf
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.
ACL (1)
Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum
2018 J jnl
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.
CoRR
Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum
2017 J jnl
Improved Representation Learning for Predicting Commonsense Ontologies.
CoRR
Xiang Li, Luke Vilnis, Andrew McCallum
2016 — conf
Commonsense Knowledge Base Completion.
ACL (1)
Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel
2016 — conf
Interactive provenance summaries for reproducible science.
eScience
Xiang Li, Xiaoyang Xu, Tanu Malik