David Cheng-Han Chiang

CoRR, 2024

Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations.

[BibT_eX]

[DOI]

CoRR, 2024

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR.

[BibT_eX]

[DOI]

Liang-Hsuan Tseng

En-Pei Hu

CoRR, 2024

Over-Reasoning and Redundant Calculation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

A Closer Look into Automatic Evaluation Using Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS.

[BibT_eX]

[DOI]

Yung-Sung Chuang

James R. Glass

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

A Closer Look into Using Large Language Models for Automatic Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Are Synonym Substitution Attacks Really Synonym Substitution Attacks?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Can Large Language Models Be an Alternative to Human Evaluations?

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

How Far Are We from Real Synonym Substitution Attacks?

[BibT_eX]

[DOI]

CoRR, 2022

Re-Examining Human Annotations for Interpretable NLP.

[BibT_eX]

[DOI]

CoRR, 2022

Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification.

[BibT_eX]

[DOI]

CoRR, 2022

On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Pre-Training a Language Model Without Human Language.

[BibT_eX]

[DOI]

CoRR, 2020

Pretrained Language Model Embryology: The Birth of ALBERT.

[BibT_eX]

[DOI]

Sung-Feng Huang