4 papers
Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models
Zhichao Sheng, Shilin Zhou, Chen Gong +1
Large Audio Language Models (LALMs), powered by the chain-of-thought (CoT) paradigm, have shown remarkable reasoning capabilities. Intuitively, different problems often require var…
UniSLU: Unified Spoken Language Understanding from Heterogeneous Cross-Task Datasets
Zhichao Sheng, Shilin Zhou, Chen Gong +1
Spoken Language Understanding (SLU) plays a crucial role in speech-centric multimedia applications, enabling machines to comprehend spoken language in scenarios such as meetings, i…
Self-Correction Makes LLMs Better Parsers
Ziyan Zhang, Yang Hou, Chen Gong +1
Large language models (LLMs) have achieved remarkable success across various natural language processing (NLP) tasks. However, recent studies suggest that they still face challenge…
Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation
Xuebin Wang, Lei Zhang, Zhenghua Li +3
Inspired by early research on exploring naturally annotated data for Chinese Word Segmentation (CWS), and also by recent research on integration of speech and text processing, this…