| Benchmarking Cognitive Biases in Large Language Models as Evaluators R Koo, M Lee, V Raheja, JI Park, ZM Kim, D Kang Findings of the Association for Computational Linguistics: ACL 2024, 517–545, 2024 | 69 | 2024 |
| Under the surface: Tracking the artifactuality of llm-generated data D Das*, K De Langis*, A Martin*, J Kim*, M Lee*, ZM Kim*, S Hayati, ... arXiv preprint arXiv:2401.14698, 2024 | 18 | 2024 |
| How Far Can We Extract Diverse Perspectives from Large Language Models? SA Hayati, M Lee, D Rajagopal, D Kang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 13* | 2024 |
| Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information S Kwon, R Garodia, M Lee, Z Yang, H Yu Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 3 | 2023 |
| Human-AI Collaborative Taxonomy Construction: A Case Study in Profession-Specific Writing Assistants M Lee, ZM Kim, V Khetan, D Kang Proceedings of the Third Workshop on Intelligent and Interactive Writing …, 2024 | 2 | 2024 |
| LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data V Deshpande, M Lee, Z Yao, Z Zhang, JB Gibbons, H Yu Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
Dongyeop KangUniversity of MinnesotaVerified email at umn.edu
