Xiang Lorraine Li

37 papers A* 8Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection Under Cloaking Perturbations. AAAI Qiyao Xue, Yuchen Dou, Zheyuan Ryan Shi, Xiang Lorraine Li, Wei Gao
2025	J	`jnl`	CreativityPrism: A Holistic Benchmark for Large Language Model Creativity. CoRR Zhaoyi Joey Hou, Bowei Alvin Zhang, Yining Lu, Bhiman Kumar Baghel, Anneliese Brei, Ximing Lu, Meng Jiang, Faeze Brahman, Snigdha Chaturvedi, Haw-Shiuan Chang, Daniel Khashabi, Xiang Lorraine Li
2025	J	`jnl`	Improve LLM-based Automatic Essay Scoring with Linguistic Features. CoRR Zhaoyi Joey Hou, Alejandro Ciuba, Xiang Lorraine Li
2025	J	`jnl`	Leveraging Large Models for Evaluating Novel Content: A Case Study on Advertisement Creativity. CoRR Zhaoyi Joey Hou, Adriana Kovashka, Xiang Lorraine Li
2025	A*	`conf`	Leveraging Large Models to Evaluate Novel Content: A Case Study on Advertisement Creativity. EMNLP Zhaoyi Joey Hou, Adriana Kovashka, Xiang Lorraine Li
2025	J	`jnl`	MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection under Cloaking Perturbations. CoRR Qiyao Xue, Yuchen Dou, Ryan Shi, Xiang Lorraine Li, Wei Gao
2025	—	`conf`	Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing. EMNLP (Findings) Bhiman Kumar Baghel, Emma Jordan, Zheyuan Ryan Shi, Xiang Lorraine Li
2025	J	`jnl`	Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing. CoRR Bhiman Kumar Baghel, Scott M. Jordan, Zheyuan Ryan Shi, Xiang Lorraine Li
2025	J	`jnl`	Similarity-Based Domain Adaptation with LLMs. CoRR Jie He, Wendi Zhou, Xiang Lorraine Li, Jeff Z. Pan
2025	A*	`conf`	Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games. EMNLP César Guerra-Solano, Zhuochun Li, Xiang Lorraine Li
2025	J	`jnl`	Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games. CoRR César Guerra-Solano, Zhuochun Li, Xiang Lorraine Li
2025	—	`conf`	Unveiling Confirmation Bias in Chain-of-Thought Reasoning. ACL (Findings) Yue Wan, Xiaowei Jia, Xiang Lorraine Li
2025	J	`jnl`	Unveiling Confirmation Bias in Chain-of-Thought Reasoning. CoRR Yue Wan, Xiaowei Jia, Xiang Lorraine Li
2024	J	`jnl`	Every Answer Matters: Evaluating Commonsense with Probabilistic Measures. CoRR Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Lorraine Li
2024	A*	`conf`	Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. CVPR Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka
2024	J	`jnl`	Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. CoRR Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka
2024	J	`jnl`	Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking. CoRR Mohamed Elaraby, Diane J. Litman, Xiang Lorraine Li, Ahmed Magooda
2024	A*	`conf`	PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. ICLR Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
2023	J	`jnl`	Editing Commonsense Knowledge in GPT. CoRR Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon
2023	A*	`conf`	Faith and Fate: Limits of Transformers on Compositionality. NeurIPS 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
2023	J	`jnl`	Faith and Fate: Limits of Transformers on Compositionality. CoRR 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
2023	J	`jnl`	In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. CoRR Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren
2023	J	`jnl`	PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. CoRR Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
2023	J	`jnl`	UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. CoRR Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr
2022	A*	`conf`	A Systematic Investigation of Commonsense Knowledge in Large Language Models. EMNLP Xiang Lorraine Li, Adhiguna Kuncoro, Jordan Hoffmann, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh
2022	—	`ed.`	Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022 RepL4NLP@ACL Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer
2021	J	`jnl`	A Systematic Investigation of Commonsense Understanding in Large Language Models. CoRR Xiang Lorraine Li, Adhiguna Kuncoro, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh
2021	A*	`conf`	Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2021	—	`conf`	Box-To-Box Transformations for Modeling Joint Hierarchies. RepL4NLP@ACL-IJCNLP Shib Sankar Dasgupta, Xiang Lorraine Li, Michael Boratko, Dongxu Zhang, Andrew McCallum
2021	—	`conf`	Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization. NAACL-HLT Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Lorraine Li, Pavan Kapanipathi, Kartik Talamadupula
2021	—	`conf`	Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. NAACL-HLT Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum
2021	J	`jnl`	Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. CoRR Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum
2021	J	`jnl`	Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR 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
2021	J	`jnl`	Word2Box: Learning Word Representation Using Box Embeddings. CoRR Shib Sankar Dasgupta, Michael Boratko, Shriya Atmakuri, Xiang Lorraine Li, Dhruvesh Patel, Andrew McCallum
2020	J	`jnl`	Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2020	J	`jnl`	Improving Local Identifiability in Probabilistic Box Embeddings. CoRR Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Lorraine Li, Andrew McCallum
2020	J	`jnl`	ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. CoRR Michael Boratko, Xiang Lorraine Li, Rajarshi Das, Tim O'Gorman, Dan Le, Andrew McCallum