Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation

Safeyah Khaled Alshemali, Daniel Bauer, Yuval Marton


Anthology ID:
2026.conll-main.11
Volume:
Proceedings of the 30th Conference on Computational Natural Language Learning
Month:
July
Year:
2026
Address:
San Diego, California, USA
Editors:
Claire Bonial, Yevgeni Berzak
Venues:
CoNLL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
165–177
Language:
URL:
https://preview.aclanthology.org/ingest-acl-workshops/2026.conll-main.11/
DOI:
Bibkey:
Cite (ACL):
Safeyah Khaled Alshemali, Daniel Bauer, and Yuval Marton. 2026. Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation. In Proceedings of the 30th Conference on Computational Natural Language Learning, pages 165–177, San Diego, California, USA. Association for Computational Linguistics.
Cite (Informal):
Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation (Alshemali et al., CoNLL 2026)
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PDF:
https://preview.aclanthology.org/ingest-acl-workshops/2026.conll-main.11.pdf