Acoustic and Lexical Sentiment Analysis for Customer Service Calls. - Bryan Li; Dimitrios Dimitriadis; Andreas Stolcke (ICASSP, 2019)

Prosody Prediction from Syntactic, Lexical, and Word Embedding Features. - Rose Sloan; Syed Sarfaraz Akhtar; Bryan Li; Ritvik Shrivastava; Agustín Gravano; Julia Hirschberg (SSW, 2019)

Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin. - Bryan Li; Xinyue Wang; Homayoon S. M. Beigi (CoRR, 2019)

Exploring Content Selection in Summarization of Novel Chapters. - Faisal Ladhak; Bryan Li; Yaser Al-Onaizan; Kathleen R. McKeown (ACL, 2020)

CIS2: A Simplified Commonsense Inference Evaluation for Story Prose. - Bryan Li; Lara J. Martin; Chris Callison-Burch (CoRR, 2022)

Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation. - Bryan Li; Mohammad Sadegh Rasooli; Ajay Patel; Chris Callison-Burch (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)

Word Alignment in the Era of Deep Learning: A Tutorial. - Bryan Li (CoRR, 2022)

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 (BEA@ACL, 2023)

PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale. - Bryan Li; Chris Callison-Burch (EMNLP (Findings), 2023)

Bidirectional Language Models Are Also Few-shot Learners. - Ajay Patel; Bryan Li; Mohammad Sadegh Rasooli; Noah Constant; Colin Raffel; Chris Callison-Burch (ICLR, 2023)

This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models. - Bryan Li; Chris Callison-Burch (CoRR, 2023)

Large Language Models as Sous Chefs: Revising Recipes with GPT-3. - Alyssa Hwang; Bryan Li; Zhaoyi Hou; Dan Roth 001 (CoRR, 2023)

Eliciting Better Multilingual Structured Reasoning from LLMs through Code. - Bryan Li; Tamer Alkhouli; Daniele Bonadiman; Nikolaos Pappas 004; Saab Mansour (ACL (1), 2024)

This Land is Your, My Land: Evaluating Geopolitical Bias in Language Models through Territorial Disputes. - Bryan Li; Samar Haider; Chris Callison-Burch (NAACL-HLT, 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 008; et al. (NeurIPS, 2024)

Eliciting Better Multilingual Structured Reasoning from LLMs through Code. - Bryan Li; Tamer Alkhouli; Daniele Bonadiman; Nikolaos Pappas 001; Saab Mansour (CoRR, 2024)

Uncovering Differences in Persuasive Language in Russian versus English Wikipedia. - Bryan Li; Aleksey Panasyuk; Chris Callison-Burch (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)

Enhancing Adversarial Resistance in LLMs with Recursion. - Bryan Li; Sounak Bagchi; Zizhan Wang (CoRR, 2024)

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 (ACL (Findings), 2025)

Towards Practical and Knowledgeable LLMs for a Multilingual World: A Thesis Proposal. - Bryan Li (NAACL (Student Research Workshop), 2025)

Digital twins for accurate prediction beyond routine operation. - Bryan Li; Isaac Severinsen; Wei Yu; Timothy Walmsley; Brent R. Young (Comput. Chem. Eng., 2025)

Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation. - Bryan Li; Jiaming Luo; Eleftheria Briakou; Colin Cherry (CoRR, 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 001 (CoRR, 2025)