Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution. Toroghi, A., Guo, W., Pesaranghader, A., & Sanner, S. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP-24), Miami, USA, 2024. Association for Computational Linguistics.
Paper bibtex 28 downloads @inproceedings{sanner:emnlp24b,
title={Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via {LLM}-based Theory Resolution},
author={Armin Toroghi and Willis Guo and Ali Pesaranghader and Scott Sanner},
booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing ({EMNLP-24})},
year = {2024},
address = {Miami, USA},
publisher = {Association for Computational Linguistics},
url_paper = {https://ssanner.github.io/papers/emnlp24_llmtres.pdf}
}
Downloads: 28
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