XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding. - Chan-Jan Hsu; Hung-yi Lee; Yu Tsao 001 (ACL (2), 2022)

Analyzing The Robustness of Unsupervised Speech Recognition. - Guan-Ting Lin; Chan-Jan Hsu; Da-Rong Liu; Hung-Yi Lee; Yu Tsao 001 (ICASSP, 2022)

Zero-Shot Domain-Sensitive Speech Recognition with Prompt-Conditioning Fine-Tuning. - Feng-Ting Liao; Yung-Chieh Chan; Yi-Chang Chen; Chan-Jan Hsu; Da-Shan Shiu (ASRU, 2023)

T5lephone: Bridging Speech and Text Self-Supervised Models for Spoken Language Understanding Via Phoneme Level T5. - Chan-Jan Hsu; Ho-Lam Chung; Hung-Yi Lee; Yu Tsao 001 (ICASSP, 2023)

Bridging Speech and Textual Pre-Trained Models With Unsupervised ASR. - Jiatong Shi; Chan-Jan Hsu; Ho-Lam Chung; Dongji Gao; Paola García 001; Shinji Watanabe 001; Ann Lee 001; Hung-Yi Lee (ICASSP, 2023)

Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results. - Philipp Ennen; Po-Chun Hsu; Chan-Jan Hsu; Chang-Le Liu; Yen-Chen Wu; Yin-Hsiang Liao; Chin-Tung Lin; Da-Shan Shiu; Wei-Yun Ma (CoRR, 2023)

Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite. - Chan-Jan Hsu; Chang-Le Liu; Feng-Ting Liao; Po-Chun Hsu; Yi-Chang Chen; Da-shan Shiu (CoRR, 2023)

Breeze-7B Technical Report. - Chan-Jan Hsu; Chang-Le Liu; Feng-Ting Liao; Po-Chun Hsu; Yi-Chang Chen; Da-Shan Shiu (CoRR, 2024)

Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text Recognition. - Chan-Jan Hsu; Yi-Chang Chen; Feng-Ting Liao; Pei-Chen Ho; Yu-Hsiang Wang; Po-Chun Hsu; Da-shan Shiu (CoRR, 2024)

Building a Taiwanese Mandarin Spoken Language Model: A First Attempt. - Chih-Kai Yang; Yu-Kuan Fu; Chen-An Li; Yi-Cheng Lin; Yu-Xiang Lin; Wei-Chih Chen; Ho-Lam Chung; Chun-Yi Kuan; Wei-Ping Huang; Ke-Han Lu; Tzu-Quan Lin; Hsiu-Hsuan Wang; et al. (CoRR, 2024)

FineWeb-zhtw: Scalable Curation of Traditional Chinese Text Data from the Web. - Cheng-Wei Lin; Wan-Hsuan Hsieh; Kai-Xin Guan; Chan-Jan Hsu; Chia-Chen Kuo; Chuan-Lin Lai; Chung-Wei Chung; Ming-Jen Wang; Da-Shan Shiu (CoRR, 2024)

Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR. - Chan-Jan Hsu; Yi-Chang Chen; Feng-Ting Liao; Pei-Chen Ho; Yu-Hsiang Wang; Po-Chun Hsu; Da-shan Shiu (ACL (Findings), 2025)

Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation. - Yi-Chang Chen; Po-Chun Hsu; Chan-Jan Hsu; Da-shan Shiu (NAACL (Industry Track), 2025)

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities. - Chan-Jan Hsu; Chia-Sheng Liu; Meng-Hsi Chen; Muxi Chen; Po-Chun Hsu; Yi-Chang Chen; Da-Shan Shiu (CoRR, 2025)

BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation - Challenges and Insights. - Chan-Jan Hsu; Yi-Cheng Lin; Chia-Chun Lin; Wei-Chih Chen; Ho-Lam Chung; Chen-An Li; Yi-Chang Chen; Chien-Yu Yu; Ming-Ji Lee; Chien-Cheng Chen; Ru-Heng Huang; Hung-yi Lee; et al. (CoRR, 2025)

Group Think: Multiple Concurrent Reasoning Agents Collaborating at Token Level Granularity. - Chan-Jan Hsu; Davide Buffelli; Jamie McGowan; Feng-Ting Liao; Yi-Chang Chen; Sattar Vakili; Da-shan Shiu (CoRR, 2025)

A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data. - Cheng-Kang Chou; Chan-Jan Hsu; Ho-Lam Chung; Liang-Hsuan Tseng; Hsi-Chun Cheng; Yu-Kuan Fu; Kuan-Po Huang; Hung-Yi Lee (CoRR, 2025)