| Can Large Language Models Be an Alternative to Human Evaluations? CH Chiang, H Lee ACL 2023, 2023 | 533 | 2023 |
| A Closer Look into Using Large Language Models for Automatic Evaluation CH Chiang, HY Lee Findings of the Association for Computational Linguistics: EMNLP 2023, 8928-8942, 2023 | 74* | 2023 |
| Pretrained language model embryology: The birth of ALBERT CH Chiang, SF Huang, H Lee EMNLP 2020, 2020 | 42 | 2020 |
| On the transferability of pre-trained language models: A study from artificial datasets CH Chiang, H Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10518 …, 2022 | 32 | 2022 |
| Pre-training a language model without human language CH Chiang, H Lee arXiv preprint arXiv:2012.11995, 2020 | 21 | 2020 |
| Over-Reasoning and Redundant Calculation of Large Language Models CH Chiang, H Lee EACL 2024, 2024 | 18 | 2024 |
| Are Synonym Substitution Attacks Really Synonym Substitution Attacks? CH Chiang, HY Lee Findings of the Association for Computational Linguistics: ACL 2023, 1853-1878, 2023 | 14* | 2023 |
| Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously CH Chiang, WP Huang, H Lee INTERSPEECH 2023, 2023 | 13 | 2023 |
| Recent Advances in Pre-trained Language Models: Why Do They Work and How Do They Work CH Chiang, YS Chuang, HY Lee Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022 | 13 | 2022 |
| Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course CH Chiang, WC Chen, CY Kuan, C Yang, H Lee EMNLP 2024, 2024 | 7 | 2024 |
| Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations CH Chiang, HY Lee Findings of the Association for Computational Linguistics ACL 2024, 2734–2751, 2024 | 6 | 2024 |
| Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS CH Chiang, YS Chuang, J Glass, H Lee Rep4NLP 2023 @ ACL 2023, 2023 | 3 | 2023 |
| Re-Examining Human Annotations for Interpretable NLP CH Chiang, H Lee EAAI @ AAAI 2022, 2022 | 3 | 2022 |
| REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR LH Tseng, EP Hu, CH Chiang, Y Tseng, H Lee, L Lee, SH Sun NeurIPS 2024, 2024 | 1 | 2024 |
| Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification CH Chiang, H Lee arXiv preprint arXiv:2204.04458, 2022 | 1 | 2022 |
| TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge CH Chiang, H Lee, M Lukasik arXiv preprint arXiv:2503.04381, 2025 | | 2025 |
Hung-yi LeeNational Taiwan UniversityVerified email at ntu.edu.tw
