One Model to Recognize Them All: Marginal Distillation from NER Models with Different Tag Sets. - Keunwoo Peter Yu; Yi Yang 038 (CoRR, 2020)

DANLI: Deliberative Agent for Following Natural Language Instructions. - Yichi Zhang 001; Jianing Yang; Jiayi Pan 002; Shane Storks; Nikhil Devraj; Ziqiao Ma 001; Keunwoo Peter Yu; Yuwei Bao; Joyce Chai (EMNLP, 2022)

NLP Reproducibility For All: Understanding Experiences of Beginners. - Shane Storks; Keunwoo Peter Yu; Ziqiao Ma 001; Joyce Chai (ACL (1), 2023)

Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake? - Yuwei Bao; Keunwoo Peter Yu; Yichi Zhang 001; Shane Storks; Itamar Bar-Yossef; Alexander De La Iglesia; Megan Su; Xiao-Lin Zheng; Joyce Chai (EMNLP (Findings), 2023)

Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based Games. - Keunwoo Peter Yu (CoRR, 2023)

Efficient In-Context Learning in Vision-Language Models for Egocentric Videos. - Keunwoo Peter Yu; Zheyuan Zhang; Fengyuan Hu; Joyce Chai (CoRR, 2023)

Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties. - Keunwoo Peter Yu; Zheyuan Zhang; Fengyuan Hu; Shane Storks; Joyce Chai (EMNLP, 2024)

Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model. - Keunwoo Peter Yu; Achal Dave; Rares Ambrus; Jean Mercat (CoRR, 2024)

Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models. - Keunwoo Peter Yu; Joyce Chai (CoRR, 2025)