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} }