Kamoi, Ryo

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs

Kamoi, R., Zhang, Y., Zhang, N., Han, J., & Zhang, R. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 200

WiCE: Real-world entailment for claims in Wikipedia

Kamoi, R., Goyal, T., Rodriguez, J., & Durrett, G. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 26

Evaluating LLMs at Detecting Errors in LLM Responses

Kamoi, R., Das, S. S. S., Lou, R., Ahn, J. J., Zhao, Y., Lu, X., Zhang, N., Zhang, Y., Zhang, R. H., Vummanthala, S. R., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs

Kamoi, R., Zhang, Y., Zhang, N., Han, J., & Zhang, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

AAAR-1.0: Assessing AI's Potential to Assist Research

Lou, R., Xu, H., Wang, S., Du, J., Kamoi, R., Lu, X., Xie, J., Sun, Y., Zhang, Y., Ahn, J. J., et al. (2024) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 3