9 papers
DIFFA: Large Language Diffusion Models Can Listen and Understand
Jiaming Zhou, Hongjie Chen, Shiwan Zhao +9
Recent advances in large language models (LLMs) have shown remarkable capabilities across textual and multimodal domains. In parallel, diffusion-based language models have emerged…
MAPEX: A Multi-Agent Pipeline for Keyphrase Extraction
Liting Zhang, Shiwan Zhao, Aobo Kong +1
Keyphrase extraction is a fundamental task in natural language processing. However, existing unsupervised prompt-based methods for Large Language Models (LLMs) often rely on single…
MECap-R1: Emotion-aware Policy with Reinforcement Learning for Multimodal Emotion Captioning
Haoqin Sun, Chenyang Lyu, Xiangyu Kong +9
Speech Emotion Captioning (SEC) has emerged as a notable research direction. The inherent complexity of emotional content in human speech makes it challenging for traditional discr…
RealTalk-CN: A Realistic Chinese Speech-Text Dialogue Benchmark With Cross-Modal Interaction Analysis
Enzhi Wang, Qicheng Li, Shiwan Zhao +6
In recent years, large language models (LLMs) have achieved remarkable advancements in multimodal processing, including end-to-end speech-based language models that enable natural…
EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations
Haoqin Sun, Xuechen Wang, Jinghua Zhao +9
In recent years, emotion recognition plays a critical role in applications such as human-computer interaction, mental health monitoring, and sentiment analysis. While datasets for…
ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5
Jiaming Zhou, Shiyao Wang, Shiwan Zhao +10
Automatic speech recognition (ASR) systems have advanced significantly with models like Whisper, Conformer, and self-supervised frameworks such as Wav2vec 2.0 and HuBERT. However,…