Kang, Dongyeop

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

Kang, D., Ammar, W., Dalvi, B., Zuylen, M., Kohlmeier, S., Hovy, E., & Schwartz, R. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Sentiment Analysis and Opinion MiningNatural Language Processing Techniques

Cited by 270

Benchmarking Cognitive Biases in Large Language Models as Evaluators

Koo, R., Lee, M., Raheja, V., Park, J. I., Kim, Z. M., & Kang, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 72

Benchmarking Cognitive Biases in Large Language Models as Evaluators

Koo, R., Lee, M., Raheja, V., Park, J. I., Kim, Z. M., & Kang, D. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 70

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

Kang, D., Ammar, W., Dalvi, B., van Zuylen, M., Kohlmeier, S., Hovy, E., & Schwartz, R. (2018) · arXiv

Computational and Text Analysis MethodsAcademic Writing and Publishing

Cited by 28

Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Ahn, D., Choi, Y., Yu, Y., Kang, D., & Choi, J. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 10