Published in arXiv, 2025
Recommended citation: Keunwoo Yu, Joyce Chai, "Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models." arXiv, 2025.
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Published in arXiv, 2024
Recommended citation: Keunwoo Yu, Achal Dave, Rares Ambrus, Jean Mercat, "Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model." arXiv, 2024.
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Published in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Recommended citation: Keunwoo Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai, "Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties." Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024.
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Published in Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Recommended citation: Yuwei Bao, Keunwoo Yu, Yichi Zhang, Shane Storks, Itamar Bar-Yossef, Alex Iglesia, Megan Su, Xiao Zheng, Joyce Chai, "Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?." Findings of the Association for Computational Linguistics: EMNLP 2023, 2023.
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Published in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Recommended citation: Shane Storks, Keunwoo Yu, Ziqiao Ma, Joyce Chai, "NLP Reproducibility For All: Understanding Experiences of Beginners." Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023.
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Published in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Recommended citation: Yichi Zhang, Jianing Yang, Jiayi Pan, Shane Storks, Nikhil Devraj, Ziqiao Ma, Keunwoo Yu, Yuwei Bao, Joyce Chai, "DANLI: Deliberative Agent for Following Natural Language Instructions." Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022.
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