Publications

2025

LLMs are Biased Evaluators But Not Biased for Fact-Centric Retrieval Augmented Generation
Chao-Wei Huang, Yun-Nung Chen
Findings of ACL, 2025
Paper

2024

FactAlign: Long-form Factuality Alignment of Large Language Models
Chao-Wei Huang, Yun-Nung Chen
Findings of EMNLP, 2024
Paper Code
PairDistill: Pairwise Relevance Distillation for Dense Passage Retrieval
Chao-Wei Huang, Yun-Nung Chen
EMNLP, 2024
Paper Code
Investigating Decoder-only Large Language Models for Speech-to-text Translation
Chao-Wei Huang, Hui Lu, Hongyu Gong, Hirofumi Inaguma, Ilia Kulikov, Ruslan Mavlyutov, Sravya Popuri
Interspeech, 2024
Paper
Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling
Chao-Wei Huang, Tsu-Yuan Hsu, Chen-An Li, Chen-Yu Hsu, Yun-Nung Chen
Findings of EACL, 2024
Paper Code
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, Yun-Nung Chen
Findings of EMNLP, 2024
Paper Code
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models
Cheng-Hsun Hsueh, Paul Kuo-Ming Huang, Tzu-Han Lin, Che-Wei Liao, Hung-Chieh Fang, Chao-Wei Huang, Yun-Nung Chen
Findings of EMNLP, 2024
Paper Code
InstUPR: Instruction-based Unsupervised Passage Reranking with Large Language Models
Chao-Wei Huang, Yun-Nung Chen
arXiv, 2024
Paper Code
A Survey of Generative Information Retrieval
Tzu-Lin Kuo, Tzu-Wei Chiu, Tzung-Sheng Lin, Sheng-Yang Wu, Chao-Wei Huang, Yun-Nung Chen
arXiv, 2024
Paper

2023

CONVERSER: Few-shot Conversational Dense Retrieval with Synthetic Data Generation
Chao-Wei Huang, Chen-Yu Hsu, Tsu-Yuan Hsu, Chen-An Li, Yun-Nung Chen
SIGDIAL, 2023
Paper Code
Visually-Enhanced Phrase Understanding
Tsu-Yuan Hsu, Chen-An Li, Chao-Wei Huang, Yun-Nung Chen
Findings of ACL, 2023
Paper Code

2022

PLM-ICD: Automatic ICD Coding with Pretrained Language Models
Chao-Wei Huang, Shang-Chi Tsai, Yun-Nung Chen
Clinical NLP Workshop, 2022
Paper Code
Open-Domain Conversational Question Answering with Historical Answers
Hung-Chieh Fang, Kuo-Han Hung, Chao-Wei Huang, Yun-Nung Chen
Findings of AACL, 2022
Paper Code
Controllable User Dialogue Act Augmentation for Dialogue State Tracking
Chun-Mao Lai, Ming-Hao Hsu, Chao-Wei Huang, Yun-Nung Chen
SIGDIAL, 2022
Paper Code
Miutsu: NTU's TaskBot for the Alexa Prize
Yen-Ting Lin, Hui-Chi Kuo, Ze-Song Xu, Ssu Chiu, Chieh-Chi Hung, Yi-Cheng Chen, Chao-Wei Huang, Yun-Nung Chen
Alexa Prize, 2022
Paper

2021

Modeling Diagnostic Label Correlation for Automatic ICD Coding
Shang-Chi Tsai, Chao-Wei Huang, Yun-Nung Chen
NAACL, 2021
Paper Code

2020

Overview of the ninth dialog system technology challenge: DSTC9
Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, et al.
DSTC9, 2020
Paper
Learning multi-level information for dialogue response selection by highway recurrent transformer
Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su, Yun-Nung Chen
Computer Speech & Language, 2020
Paper Code
RAP-Net: Recurrent attention pooling networks for dialogue response selection
Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su, Yun-Nung Chen
Computer Speech & Language, 2020
Paper Code
Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding
Chao-Wei Huang, Yun-Nung Chen
ICASSP, 2020
Paper Code Slides
Learning Spoken Language Representations with Neural Lattice Language Modeling
Chao-Wei Huang, Yun-Nung Chen
ACL, 2020
Paper Code Slides
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning
Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen
ACL, 2020
Paper Code

2019

Adapting pretrained transformer to lattices for spoken language understanding
Chao-Wei Huang, Yun-Nung Chen
ASRU, 2019
Paper Code
Dual Supervised Learning for Natural Language Understanding and Generation
Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen
ACL, 2019
Paper Code