Bryan Li

According to our database, Bryan Li authored at least 25 papers between 2019 and 2025.

Collaborative distances:

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

2025

Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale.

Bowen Jiang, Zhuoqun Hao, Young-Min Cho, Bryan Li, Yuan Yuan, Sihao Chen, Lyle H. Ungar, Camillo J. Taylor, Dan Roth

CoRR, April, 2025

Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation.

Bryan Li, Jiaming Luo, Eleftheria Briakou, Colin Cherry

CoRR, March, 2025

Digital twins for accurate prediction beyond routine operation.

Bryan Li, Isaac Severinsen, Wei Yu, Timothy Walmsley, Brent R. Young

Comput. Chem. Eng., 2025

Towards Practical and Knowledgeable LLMs for a Multilingual World: A Thesis Proposal.

Bryan Li

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Multilingual Retrieval Augmented Generation for Culturally-Sensitive Tasks: A Benchmark for Cross-lingual Robustness.

Bryan Li, Fiona Luo, Samar Haider, Adwait Agashe, Siyu Li, Runqi Liu, Miranda Muqing Miao, Shriya Ramakrishnan, Yuan Yuan, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Enhancing Adversarial Resistance in LLMs with Recursion.

Bryan Li, Sounak Bagchi, Zizhan Wang

CoRR, 2024

BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation.

Bryan Li, Samar Haider, Fiona Luo, Adwait Agashe, Chris Callison-Burch

CoRR, 2024

Uncovering Differences in Persuasive Language in Russian versus English Wikipedia.

Bryan Li, Aleksey Panasyuk, Chris Callison-Burch

CoRR, 2024

Eliciting Better Multilingual Structured Reasoning from LLMs through Code.

Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour

CoRR, 2024

Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

This Land is Your, My Land: Evaluating Geopolitical Bias in Language Models through Territorial Disputes.

Bryan Li, Samar Haider, Chris Callison-Burch

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Eliciting Better Multilingual Structured Reasoning from LLMs through Code.

Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Large Language Models as Sous Chefs: Revising Recipes with GPT-3.

Alyssa Hwang, Bryan Li, Zhaoyi Hou, Dan Roth

CoRR, 2023

This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models.

Bryan Li, Chris Callison-Burch

CoRR, 2023

Bidirectional Language Models Are Also Few-shot Learners.

Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale.

Bryan Li, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enhancing Human Summaries for Question-Answer Generation in Education.

Hannah Gonzalez, Liam Dugan, Eleni Miltsakaki, Zhiqi Cui, Jiaxuan Ren, Bryan Li, Shriyash Upadhyay, Etan Ginsberg, Chris Callison-Burch

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022

Word Alignment in the Era of Deep Learning: A Tutorial.

Bryan Li

CoRR, 2022

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing.

Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman

CoRR, 2022

Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation.

Bryan Li, Mohammad Sadegh Rasooli, Ajay Patel, Chris Callison-Burch

CoRR, 2022

CIS2: A Simplified Commonsense Inference Evaluation for Story Prose.

Bryan Li, Lara J. Martin, Chris Callison-Burch

CoRR, 2022

2020

Exploring Content Selection in Summarization of Novel Chapters.

Faisal Ladhak, Bryan Li, Yaser Al-Onaizan, Kathleen R. McKeown

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin.

Bryan Li, Xinyue Wang, Homayoon S. M. Beigi

CoRR, 2019

Prosody Prediction from Syntactic, Lexical, and Word Embedding Features.

Rose Sloan, Syed Sarfaraz Akhtar, Bryan Li, Ritvik Shrivastava, Agustín Gravano, Julia Hirschberg

Proceedings of the 10th ISCA Speech Synthesis Workshop, 2019

Acoustic and Lexical Sentiment Analysis for Customer Service Calls.

Bryan Li, Dimitrios Dimitriadis, Andreas Stolcke

Proceedings of the IEEE International Conference on Acoustics, 2019