2 papers
cs.CV2025
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal Reasoning
Yuqi Pang, Bowen Yang, Haoqin Tu +2
Although Large Language Models (LLMs) excel in reasoning and generation for language tasks, they are not specifically designed for multimodal challenges. Training Multimodal Large…
cs.SE2024
Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases
Yusheng Zheng, Yiwei Yang, Haoqin Tu +1
Modern software systems like the Linux kernel are among the world's largest and most intricate codebases, continually evolving with new features and increasing complexity. Understa…