3 papers
cs.CL2026
Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach
Tianbao Jiang, Weicong Ni, Gerard de Melo +1
Post-training reinforcement learning (RL) algorithms are commonly used to align large vision-language models (LVLMs) with human intent and the requirements of visual reasoning task…
cs.CL2026
Are Large Language Models Suitable for Graph Computation? Progress and Prospects
Yuting Zhang, Yi Han, Kai Wang +3
Large language models (LLMs) have been increasingly explored for graph computation, where tasks require reasoning over structured relationships and algorithmic operations. Yet, it…
cs.AI2026
Pseudocode-Guided Structured Reasoning for Automating Reliable Inference in Vision-Language Models
Weicong Ni, Tianbao Jiang, Linlin Wang
Vision-Language Models (VLMs) are becoming the cornerstone of high-level reasoning for robotic automation, enabling robots to parse natural language commands and perceive their env…