DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion.
Aishwarya Maheswaran|Kaushal Kumar Maurya|Manish Gupta|Maunendra Sankar Desarkar
| Anthology ID: | DBLP:conf/sigir/MaheswaranM0D24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 608-618 |
| URL: | https://doi.org/10.1145/3626772.3657779 |
| DOI: | https://doi.org/10.1145/3626772.3657779 |
| DBLP: | conf/sigir/MaheswaranM0D24 |
| BibTeX: |
@inproceedings{maheswaran-2024-dac,
author = {Aishwarya Maheswaran and
Kaushal Kumar Maurya and
Manish Gupta and
Maunendra Sankar Desarkar},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {608--618},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657779},
doi = {https://doi.org/10.1145/3626772.3657779}
}