From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding

9 December 2024

Papers citing "From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding"

5 / 5 papers shown

Title
Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Ruiyang Zhang Hu Zhang Hao Fei Zhedong Zheng UQCV 28 0 0 09 Jun 2025
Mitigating Object Hallucination via Robust Local Perception Search Zixian Gao Chao Yang Zhanhui Zhou Xing Xu Chaochao Lu MLLM 12 0 0 07 Jun 2025
Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects Agnese Chiatti Sara Bernardini Lara Shibelski Godoy Piccolo Viola Schiaffonati Matteo Matteucci 97 0 0 08 May 2025
Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Alexei Kaltchenko 123 0 0 30 Apr 2025
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework Zhuo Zhi Chen Feng Adam Daneshmend Mine Orlu Andreas Demosthenous L. Yin Da Li Ziquan Liu Miguel R. D. Rodrigues LRM 121 1 0 11 Mar 2025