LEMSS: LLM-Based Platform for Multi-Agent Competitive Search Simulation.

Tommy Mordo|Haya Nachimovsky|Zhou He|Tomer Kordonsky|Moshe Tennenholtz|Zhifei Pang|Haya Nachimovsky|Zhou He|Oren Kurland|Xiu Tang|Moshe Tennenholtz|Zhifei Pang|Oren Kurland|Xiu Tang


Anthology ID:DBLP:conf/sigir/MordoKNTK25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3595-3605
URL:https://doi.org/10.1145/3726302.3730312
DOI:https://doi.org/10.1145/3726302.3730312
DBLP:conf/sigir/MordoKNTK25
BibTeX:
@inproceedings{mordo-2025-lemss, author = {Tommy Mordo and Haya Nachimovsky and Zhou He and Tomer Kordonsky and Moshe Tennenholtz and Zhifei Pang and Haya Nachimovsky and Zhou He and Oren Kurland and Xiu Tang and Moshe Tennenholtz and Zhifei Pang and Oren Kurland and Xiu Tang}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{LEMSS: LLM-Based Platform for Multi-Agent Competitive Search Simulation}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {3595--3605}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730312}, doi = {https://doi.org/10.1145/3726302.3730312} }