| Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties K Yu, Z Zhang, F Hu, S Storks, J Chai Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 15* | 2024 |
| Danli: Deliberative agent for following natural language instructions Y Zhang, J Yang, J Pan, S Storks, N Devraj, Z Ma, KP Yu, Y Bao, J Chai arXiv preprint arXiv:2210.12485, 2022 | 14 | 2022 |
| Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake? Y Bao, KP Yu, Y Zhang, S Storks, I Bar-Yossef, A De La Iglesia, M Su, ... arXiv preprint arXiv:2311.00738, 2023 | 8 | 2023 |
| NLP reproducibility for all: Understanding experiences of beginners S Storks, KP Yu, Z Ma, J Chai arXiv preprint arXiv:2305.16579, 2023 | 3 | 2023 |
| Seagull: An embodied agent for instruction following through situated dialog Y Zhang, J Yang, K Yu, Y Dai, S Storks, Y Bao, J Pan, N Devraj, Z Ma, ... | 2 | 2023 |
| One model to recognize them all: Marginal distillation from NER models with different tag sets KP Yu, Y Yang arXiv preprint arXiv:2004.05140, 2020 | 1 | 2020 |
| Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model KP Yu, A Dave, R Ambrus, J Mercat arXiv preprint arXiv:2412.04729, 2024 | | 2024 |
| Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based Games KP Yu arXiv preprint arXiv:2311.01928, 2023 | | 2023 |
| Reproducibility Beyond the Research Community: Experience from NLP Beginners S Storks, KP Yu, J Chai arXiv preprint arXiv:2205.02182, 2022 | | 2022 |
| A Computational Tool for Enhancing the Quality of Translated Documents Constructed from Individual Human-Translated Sentences K Yu | | 2013 |
Shane StorksResearch Fellow, University of Michigan在 umich.edu 的电子邮件经过验证
