3 papers
cs.SD2026
When Noise Lowers The Loss: Rethinking Likelihood-Based Evaluation in Music Large Language Models
Xiaosha Li, Chun Liu, Ziyu Wang
The rise of music large language models (LLMs) demands robust methods of evaluating output quality, especially in distinguishing high-quality compositions from "garbage music". Cur…
math.NA2025
Unified Learning of the Profile Function in Discrete Keller-Segel Models
Chi-An Chen, Chun Liu, Ming Zhong
We propose a unified learning framework for identifying the profile function in discrete Keller-Segel equations, which are widely used mathematical models for understanding chemota…
cs.CR2025
Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
Wu Yichao, Wang Yirui, Ding Panpan +3
With the wide application of deep reinforcement learning (DRL) techniques in complex fields such as autonomous driving, intelligent manufacturing, and smart healthcare, how to impr…