Causally fooled in the name of being honest? Evaluating causal extraction in LLMs for political text
Paulina Garcia-Corral, Hannah Dorothy Bechara, Krishnamoorthy Manohara, Slava Jankin
- Anthology ID:
- 2025.konvens-2.4
- Volume:
- Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops
- Month:
- September
- Year:
- 2025
- Address:
- Hannover, Germany
- Editors:
- Christian Wartena, Ulrich Heid
- Venue:
- KONVENS
- SIG:
- Publisher:
- HsH Applied Academics
- Note:
- Pages:
- 36–53
- Language:
- URL:
- https://preview.aclanthology.org/corrections-2025-09/2025.konvens-2.4/
- DOI:
- Cite (ACL):
- Paulina Garcia-Corral, Hannah Dorothy Bechara, Krishnamoorthy Manohara, and Slava Jankin. 2025. Causally fooled in the name of being honest? Evaluating causal extraction in LLMs for political text. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops, pages 36–53, Hannover, Germany. HsH Applied Academics.
- Cite (Informal):
- Causally fooled in the name of being honest? Evaluating causal extraction in LLMs for political text (Garcia-Corral et al., KONVENS 2025)
- PDF:
- https://preview.aclanthology.org/corrections-2025-09/2025.konvens-2.4.pdf