Search Results for author: Feng-Ting Liao

Found 6 papers, 2 papers with code

Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text Recognition

no code implementations23 May 2024 Chan-Jan Hsu, Yi-Chang Chen, Feng-Ting Liao, Pei-Chen Ho, Yu-Hsiang Wang, Po-chun Hsu, Da-Shan Shiu

We introduce "Generative Fusion Decoding" (GFD), a novel shallow fusion framework, utilized to integrate Large Language Models (LLMs) into multi-modal text recognition systems such as automatic speech recognition (ASR) and optical character recognition (OCR).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Breeze-7B Technical Report

no code implementations5 Mar 2024 Chan-Jan Hsu, Chang-Le Liu, Feng-Ting Liao, Po-chun Hsu, Yi-Chang Chen, Da-Shan Shiu

Breeze-7B is an open-source language model based on Mistral-7B, designed to address the need for improved language comprehension and chatbot-oriented capabilities in Traditional Chinese.

Chatbot Language Modelling

Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite

1 code implementation15 Sep 2023 Chan-Jan Hsu, Chang-Le Liu, Feng-Ting Liao, Po-chun Hsu, Yi-Chang Chen, Da-Shan Shiu

In an effort to advance the evaluation of language models in Traditional Chinese and stimulate further research in this field, we have open-sourced our benchmark and opened the model for trial.

Question Answering

Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning

1 code implementation18 Jul 2023 Feng-Ting Liao, Yung-Chieh Chan, Yi-Chang Chen, Chan-Jan Hsu, Da-Shan Shiu

In this work, we propose a method to create domain-sensitive speech recognition models that utilize textual domain information by conditioning its generation on a given text prompt.

Domain Adaptation speech-recognition +1

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