3 papers
cs.LG2026
Confidence Geometry Reveals Trace-Level Correctness in Large Language Model Reasoning
Shuo Liu, Ding Liu, Shi-Ju Ran
Large language models (LLMs) generate not only reasoning text, but also token-level confidence trajectories that record how uncertainty evolves during inference. Whether these traj…
cs.IR2025
HLLM-Creator: Hierarchical LLM-based Personalized Creative Generation
Junyi Chen, Lu Chi, Siliang Xu +3
AI-generated content technologies are widely used in content creation. However, current AIGC systems rely heavily on creators' inspiration, rarely generating truly user-personalize…
cs.CL2025
Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning
Jinghui Lu, Haiyang Yu, Siliang Xu +9
Recent advancements in reasoning have significantly enhanced the capabilities of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) across diverse tasks. How…