Fengting Liao

According to our database, Fengting Liao authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts.

Yi-Chang Chen, Feng-Ting Liao, Da-Shan Shiu, Hung-Yi Lee

CoRR, May, 2026

Revisiting the Shape Convention of Transformer Language Models.

Feng-Ting Liao, Meng-Hsi Chen, Guan-Ting Yi, Da-shan Shiu

CoRR, February, 2026

2025

Rethinking the shape convention of an MLP.

Meng-Hsi Chen, Yu-Ang Lee, Feng-Ting Liao, Da-shan Shiu

CoRR, October, 2025

Latent Flow Transformer.

Yen-Chen Wu, Feng-Ting Liao, Meng-Hsi Chen, Pei-Chen Ho, Farhang Nabiei, Da-shan Shiu

CoRR, May, 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, May, 2025

RAD-Bench: Evaluating Large Language Models' Capabilities in Retrieval Augmented Dialogues.

Tzu-Lin Kuo, Fengting Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-shan Shiu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Breeze-7B Technical Report.

Chan-Jan Hsu, Chang-Le Liu, Feng-Ting Liao, Po-Chun Hsu, Yi-Chang Chen, Da-Shan Shiu

CoRR, 2024

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

Image generation with shortest path diffusion.

Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2021

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