Bryan Li

36 papers A* 3Misc 1Journal 22Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
Incorporating Q&A Nuggets Into Retrieval-Augmented Generation.
ECIR (2)
Laura Dietz, Bryan Li, Gabrielle K. Liu, Jia-Huei Ju, Eugene Yang, Dawn J. Lawrie, William Gantt Walden, James Mayfield
2026 J jnl
Incorporating Q&A Nuggets into Retrieval-Augmented Generation.
CoRR
Laura Dietz, Bryan Li, Gabrielle K. Liu, Jia-Huei Ju, Eugene Yang, Dawn J. Lawrie, William Gantt Walden, James Mayfield
2026 — conf
Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?
ECIR (1)
Laura Dietz, Bryan Li, Eugene Yang, Dawn J. Lawrie, William Gantt Walden, James Mayfield
2026 J jnl
Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?
CoRR
Laura Dietz, Bryan Li, Eugene Yang, Dawn J. Lawrie, William Gantt Walden, James Mayfield
2026 — conf
Investigating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries.
ECIR (2)
Gabrielle Kaili-May Liu, Bryan Li, Arman Cohan, William Gantt Walden, Eugene Yang
2026 J jnl
Physics-informed neural networks for extrapolating press washer unit operations with heuristic physical knowledge and scarce data.
Comput. Chem. Eng.
Bryan Li, Isaac Severinsen, Timothy Walmsley, Wei Yu, Brent R. Young
2025 J jnl
Auto-ARGUE: LLM-Based Report Generation Evaluation.
CoRR
William Gantt Walden, Marc Mason, Orion Weller, Laura Dietz, Hannah Recknor, Bryan Li, Gabrielle Kaili-May Liu, Yu Hou, James Mayfield, Eugene Yang
2025 J jnl
Digital twins for accurate prediction beyond routine operation.
Comput. Chem. Eng.
Bryan Li, Isaac Severinsen, Wei Yu, Timothy Walmsley, Brent R. Young
2025 J jnl
Evaluating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries.
CoRR
Gabrielle Kaili-May Liu, Bryan Li, Arman Cohan, William Gantt Walden, Eugene Yang
2025 J jnl
Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale.
CoRR
Bowen Jiang, Zhuoqun Hao, Young-Min Cho, Bryan Li, Yuan Yuan, Sihao Chen, Lyle H. Ungar, Camillo J. Taylor, Dan Roth
2025 J jnl
Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation.
CoRR
Bryan Li, Jiaming Luo, Eleftheria Briakou, Colin Cherry
2025 — conf
Multilingual Retrieval Augmented Generation for Culturally-Sensitive Tasks: A Benchmark for Cross-lingual Robustness.
ACL (Findings)
Bryan Li, Fiona Luo, Samar Haider, Adwait Agashe, Siyu Li, Runqi Liu, Miranda Muqing Miao, Shriya Ramakrishnan, Yuan Yuan, Chris Callison-Burch
2025 — conf
Towards Practical and Knowledgeable LLMs for a Multilingual World: A Thesis Proposal.
NAACL (Student Research Workshop)
Bryan Li
2024 J jnl
BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation.
CoRR
Bryan Li, Samar Haider, Fiona Luo, Adwait Agashe, Chris Callison-Burch
2024 — conf
Eliciting Better Multilingual Structured Reasoning from LLMs through Code.
ACL (1)
Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour
2024 J jnl
Eliciting Better Multilingual Structured Reasoning from LLMs through Code.
CoRR
Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour
2024 J jnl
Enhancing Adversarial Resistance in LLMs with Recursion.
CoRR
Bryan Li, Sounak Bagchi, Zizhan Wang
2024 A* conf
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos.
NeurIPS
Polina Turishcheva, Paul G. Fahey, Michaela Vystrcilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie Rochefort, Arno Onken, Eric Y. Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker
2024 — conf
This Land is Your, My Land: Evaluating Geopolitical Bias in Language Models through Territorial Disputes.
NAACL-HLT
Bryan Li, Samar Haider, Chris Callison-Burch
2024 J jnl
Uncovering Differences in Persuasive Language in Russian versus English Wikipedia.
CoRR
Bryan Li, Aleksey Panasyuk, Chris Callison-Burch
2023 A* conf
Bidirectional Language Models Are Also Few-shot Learners.
ICLR
Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch
2023 — conf
Enhancing Human Summaries for Question-Answer Generation in Education.
BEA@ACL
Hannah Gonzalez, Liam Dugan, Eleni Miltsakaki, Zhiqi Cui, Jiaxuan Ren, Bryan Li, Shriyash Upadhyay, Etan Ginsberg, Chris Callison-Burch
2023 J jnl
Large Language Models as Sous Chefs: Revising Recipes with GPT-3.
CoRR
Alyssa Hwang, Bryan Li, Zhaoyi Hou, Dan Roth
2023 — conf
PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale.
EMNLP (Findings)
Bryan Li, Chris Callison-Burch
2023 J jnl
PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale.
CoRR
Bryan Li, Chris Callison-Burch
2023 J jnl
This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models.
CoRR
Bryan Li, Chris Callison-Burch
2022 J jnl
Bidirectional Language Models Are Also Few-shot Learners.
CoRR
Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch
2022 J jnl
CIS2: A Simplified Commonsense Inference Evaluation for Story Prose.
CoRR
Bryan Li, Lara J. Martin, Chris Callison-Burch
2022 J jnl
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing.
CoRR
Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman
2022 J jnl
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation.
CoRR
Bryan Li, Mohammad Sadegh Rasooli, Ajay Patel, Chris Callison-Burch
2022 J jnl
Word Alignment in the Era of Deep Learning: A Tutorial.
CoRR
Bryan Li
2020 A* conf
Exploring Content Selection in Summarization of Novel Chapters.
ACL
Faisal Ladhak, Bryan Li, Yaser Al-Onaizan, Kathleen R. McKeown
2020 J jnl
Exploring Content Selection in Summarization of Novel Chapters.
CoRR
Faisal Ladhak, Bryan Li, Yaser Al-Onaizan, Kathleen R. McKeown
2019 Misc conf
Acoustic and Lexical Sentiment Analysis for Customer Service Calls.
ICASSP
Bryan Li, Dimitrios Dimitriadis, Andreas Stolcke
2019 J jnl
Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin.
CoRR
Bryan Li, Xinyue Wang, Homayoon Beigi
2019 — conf
Prosody Prediction from Syntactic, Lexical, and Word Embedding Features.
SSW
Rose Sloan, Syed Sarfaraz Akhtar, Bryan Li, Ritvik Shrivastava, Agustín Gravano, Julia Hirschberg