Mitigating the Threshold Priming Effect in Large Language Model-Based Relevance Judgments via Personality Simulation.
Nuo Chen|Hanpei Fang|Jiqun Liu|Wilson Wei|Tetsuya Sakai|Xiao-Ming Wu
| Anthology ID: | DBLP:conf/wsdm/0004FLWS026 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1099-1104 |
| URL: | https://doi.org/10.1145/3773966.3779384 |
| DOI: | https://doi.org/10.1145/3773966.3779384 |
| DBLP: | conf/wsdm/0004FLWS026 |
| BibTeX: |
@inproceedings{chen-2026-mitigating,
author = {Nuo Chen and
Hanpei Fang and
Jiqun Liu and
Wilson Wei and
Tetsuya Sakai and
Xiao-Ming Wu},
title = {{Mitigating the Threshold Priming Effect in Large Language Model-Based Relevance Judgments via Personality Simulation}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1099--1104},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3779384},
doi = {https://doi.org/10.1145/3773966.3779384}
}