ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction.
Yiqiao Jin|Stefano Petrangeli|Yu Shen|Gang Wu
| Anthology ID: | DBLP:conf/www/JinPS025 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2008-2013 |
| URL: | https://doi.org/10.1145/3701716.3718379 |
| DOI: | https://doi.org/10.1145/3701716.3718379 |
| DBLP: | conf/www/JinPS025 |
| BibTeX: |
@inproceedings{jin-2025-screenllm,
author = {Yiqiao Jin and
Stefano Petrangeli and
Yu Shen and
Gang Wu},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {2008--2013},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3718379},
doi = {https://doi.org/10.1145/3701716.3718379}
}