On Causal and Anticausal LLM-based Data Synthesis.
Bohan Jiang|Pingchuan Ma|Zhuoyu Shi|Fred Morstatter|Adrienne Raglin|Huan Liu
| Anthology ID: | DBLP:conf/wsdm/Jiang0SMR026 |
|---|---|
| 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: | 1160-1164 |
| URL: | https://doi.org/10.1145/3773966.3779380 |
| DOI: | https://doi.org/10.1145/3773966.3779380 |
| DBLP: | conf/wsdm/Jiang0SMR026 |
| BibTeX: |
@inproceedings{jiang-2026-causal,
author = {Bohan Jiang and
Pingchuan Ma and
Zhuoyu Shi and
Fred Morstatter and
Adrienne Raglin and
Huan Liu},
title = {{On Causal and Anticausal LLM-based Data Synthesis}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1160--1164},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3779380},
doi = {https://doi.org/10.1145/3773966.3779380}
}