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ORCIDDavid Cheng-Han Chiang
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- affiliation: National Taiwan University, Taiwan
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2020 – today
- 2024
[i13]David Cheng-Han Chiang, Hung-Yi Lee:
Over-Reasoning and Redundant Calculation of Large Language Models. CoRR abs/2401.11467 (2024)- [i12]Liang-Hsuan Tseng, En-Pei Hu, David Cheng-Han Chiang, Yuan Tseng, Hung-yi Lee, Lin-Shan Lee, Shao-Hua Sun:
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR. CoRR abs/2402.03988 (2024) - [i11]David Cheng-Han Chiang, Hung-yi Lee:
Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations. CoRR abs/2402.05629 (2024) - [i10]Guan-Ting Lin, David Cheng-Han Chiang, Hung-yi Lee:
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations. CoRR abs/2402.12786 (2024) - 2023
- [c6]David Cheng-Han Chiang, Hung-yi Lee:
Are Synonym Substitution Attacks Really Synonym Substitution Attacks? ACL (Findings) 2023: 1853-1878 - [c5]David Cheng-Han Chiang, Hung-yi Lee:
Can Large Language Models Be an Alternative to Human Evaluations? ACL (1) 2023: 15607-15631 - [c4]David Cheng-Han Chiang, Hung-yi Lee:
A Closer Look into Using Large Language Models for Automatic Evaluation. EMNLP (Findings) 2023: 8928-8942 - [c3]David Cheng-Han Chiang, Hung-yi Lee, Yung-Sung Chuang, James R. Glass:
Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS. RepL4NLP@ACL 2023: 289-302 - [i9]David Cheng-Han Chiang, Hung-yi Lee:
Can Large Language Models Be an Alternative to Human Evaluations? CoRR abs/2305.01937 (2023) - [i8]David Cheng-Han Chiang, Yung-Sung Chuang, James R. Glass, Hung-yi Lee:
Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS. CoRR abs/2306.05083 (2023) - [i7]David Cheng-Han Chiang, Hung-yi Lee:
A Closer Look into Automatic Evaluation Using Large Language Models. CoRR abs/2310.05657 (2023) - 2022
- [c2]David Cheng-Han Chiang, Hung-Yi Lee:
On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets. AAAI 2022: 10518-10525 - [i6]David Cheng-Han Chiang, Hung-Yi Lee:
Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification. CoRR abs/2204.04458 (2022) - [i5]David Cheng-Han Chiang, Hung-Yi Lee:
Re-Examining Human Annotations for Interpretable NLP. CoRR abs/2204.04580 (2022) - [i4]David Cheng-Han Chiang, Hung-yi Lee:
How Far Are We from Real Synonym Substitution Attacks? CoRR abs/2210.02844 (2022) - 2021
- [i3]David Cheng-Han Chiang, Hung-yi Lee:
On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets. CoRR abs/2109.03537 (2021) - 2020
- [c1]David Cheng-Han Chiang, Sung-Feng Huang, Hung-yi Lee:
Pretrained Language Model Embryology: The Birth of ALBERT. EMNLP (1) 2020: 6813-6828 - [i2]David Cheng-Han Chiang, Sung-Feng Huang, Hung-yi Lee:
Pretrained Language Model Embryology: The Birth of ALBERT. CoRR abs/2010.02480 (2020) - [i1]David Cheng-Han Chiang, Hung-yi Lee:
Pre-Training a Language Model Without Human Language. CoRR abs/2012.11995 (2020)
Coauthor Index
aka: Hung-Yi Lee
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