3 papers
cs.CV2026
VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering
Jiayi Chen, Benteng Ma, Zehui Liao +3
While medical Multimodal Large Language Models (MLLMs) have shown promise in assisting diagnosis, they still frequently generate hallucinated responses that appear linguistically p…
cs.CL2025
CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs
Li Li, Ziyi Wang, Yongliang Wu +2
Chain-of-Thought (CoT) prompting has emerged as a powerful approach to enhancing the reasoning capabilities of Large Language Models (LLMs). However, existing implementations, such…
cs.CL2025
Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis
Li Li, Yongliang Wu, Jingze Zhu +3
The evolution of large models has witnessed the emergence of In-Context Learning (ICL) capabilities. In Natural Language Processing (NLP), numerous studies have demonstrated the ef…