2 papers
cs.CV2026
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
Yijie Zhu, Lingsen Zhang, Zitong Yu +3
Emotional understanding and generation are often treated as separate tasks, yet they are inherently complementary and can mutually enhance each other. In this paper, we propose the…
cs.CL2026
RUQuant: Towards Refining Uniform Quantization for Large Language Models
Han Liu, Haotian Gao, Changya Li +4
The increasing size and complexity of large language models (LLMs) have raised significant challenges in deployment efficiency, particularly under resource constraints. Post-traini…