Xiang Li

According to our database, Xiang Li authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition.

Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka

CoRR, 2024

2023

UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.

Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr

CoRR, 2023

In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search.

Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren

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 J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

CoRR, 2023

Editing Commonsense Knowledge in GPT.

Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon

CoRR, 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, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Editing Common Sense in Transformers.

Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Li, Sarah Wiegreffe, Niket Tandon

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings.

Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra, Shriya Atmakuri, Dhruvesh Patel, Xiang Li, Andrew McCallum

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving

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

Word2Box: Learning Word Representation Using Box Embeddings.

Shib Sankar Dasgupta, Michael Boratko, Shriya Atmakuri, Xiang Lorraine Li, Dhruvesh Patel, Andrew McCallum

CoRR, 2021

Box-To-Box Transformations for Modeling Joint Hierarchies.

Shib Sankar Dasgupta, Xiang Lorraine Li, Michael Boratko, Dongxu Zhang, Andrew McCallum

Proceedings of the 6th Workshop on Representation Learning for NLP, 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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning.

Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks.

Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula

CoRR, 2020

Reading Comprehension as Natural Language Inference: A Semantic Analysis.

Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula

Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Improving Local Identifiability in Probabilistic Box Embeddings.

Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Li, Andrew McCallum

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning.

Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Representing Joint Hierarchies with Box Embeddings.

Dhruvesh Patel, Shib Sankar Dasgupta, Michael Boratko, Xiang Li, Luke Vilnis, Andrew McCallum

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019

Smoothing the Geometry of Probabilistic Box Embeddings.

Xiang Li, Luke Vilnis, Dongxu Zhang, Michael Boratko, Andrew McCallum

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.

Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Improved Representation Learning for Predicting Commonsense Ontologies.

Xiang Li, Luke Vilnis, Andrew McCallum

CoRR, 2017

2016

Interactive provenance summaries for reproducible science.

Xiang Li, Xiaoyang Xu, Tanu Malik

Proceedings of the 12th IEEE International Conference on e-Science, 2016

Commonsense Knowledge Base Completion.

Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016