AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress.

Zhiheng Xi|Chenyang Liao|Guanyu Li|Zhihao Zhang|Wenxiang Chen|Binghai Wang|Senjie Jin|Yuhao Zhou|Jian Guan|Wei Wu|Tao Ji|Tao Gui|Qi Zhang|Xuanjing Huang


Anthology ID:DBLP:conf/www/XiLLZCWJZGWJGZH26
Volume:Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Year:2026
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:4184-4195
URL:https://doi.org/10.1145/3774904.3792551
DOI:https://doi.org/10.1145/3774904.3792551
DBLP:conf/www/XiLLZCWJZGWJGZH26
BibTeX:
@inproceedings{xi-2026-agentprm, author = {Zhiheng Xi and Chenyang Liao and Guanyu Li and Zhihao Zhang and Wenxiang Chen and Binghai Wang and Senjie Jin and Yuhao Zhou and Jian Guan and Wei Wu and Tao Ji and Tao Gui and Qi Zhang and Xuanjing Huang}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {4184--4195}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792551}, doi = {https://doi.org/10.1145/3774904.3792551} }