How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
Wei Huang|Keping Bi|Yinqiong Cai|Wei Chen|Jiafeng Guo|Xueqi Cheng
| Anthology ID: | DBLP:conf/wsdm/HuangBC0GC26 |
|---|---|
| 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: | 238-248 |
| URL: | https://doi.org/10.1145/3773966.3777988 |
| DOI: | https://doi.org/10.1145/3773966.3777988 |
| DBLP: | conf/wsdm/HuangBC0GC26 |
| BibTeX: |
@inproceedings{huang-2026-llmgenerated,
author = {Wei Huang and
Keping Bi and
Yinqiong Cai and
Wei Chen and
Jiafeng Guo and
Xueqi Cheng},
title = {{How Do LLM-Generated Texts Impact Term-Based Retrieval Models?}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {238--248},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777988},
doi = {https://doi.org/10.1145/3773966.3777988}
}