Meta-Learning with MAML on Trees. - Jezabel R. Garcia; Federica Freddi; Feng-Ting Liao; Jamie McGowan; Tim Nieradzik; Da-Shan Shiu; Ye Tian; Alberto Bernacchia (CoRR, 2021)

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)

Image generation with shortest path diffusion. - Ayan Das 005; Stathi Fotiadis; Anil Batra; Farhang Nabiei; Fengting Liao; Sattar Vakili; Da-Shan Shiu; Alberto Bernacchia (ICML, 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)

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)

RAD-Bench: Evaluating Large Language Models' Capabilities in Retrieval Augmented Dialogues. - Tzu-Lin Kuo; Fengting Liao; Mu-Wei Hsieh; Fu-Chieh Chang 001; Po-Chun Hsu; Da-shan Shiu (NAACL (Industry Track), 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)

Latent Flow Transformer. - Yen-Chen Wu; Feng-Ting Liao; Meng-Hsi Chen; Pei-Chen Ho; Farhang Nabiei; Da-shan Shiu (CoRR, 2025)