2 papers
cs.CL2026
Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning
Jingxiang Chen, Minseok Kim, Seong-Gyun Leem +13
Speech large language models (LLMs) observe paralinguistic cues such as prosody, emotion, and non-verbal sounds--crucial for intent understanding. However, leveraging these cues fa…
cs.CL2025
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering
Yang Bai, Christan Earl Grant, Daisy Zhe Wang
Multi-modal retrieval-augmented Question Answering (MRAQA), integrating text and images, has gained significant attention in information retrieval (IR) and natural language process…