Vision-Language Models

AntTech

Mar 18, 2025 · Artificial Intelligence

MoLE: Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models

Researchers from Ant Insurance and Zhejiang University propose MoLE, a Mixture of Layer Experts decoding method that reduces hallucinations in large vision‑language models, demonstrating state‑of‑the‑art performance on LVLM benchmarks and enabling reliable end‑to‑end medical‑record‑to‑claim automation.

AIHallucination MitigationInsurance Automation

0 likes · 7 min read

MoLE: Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models

DaTaobao Tech

Jul 1, 2024 · Artificial Intelligence

Recent Progress in Vision-Language Models (VLMs)

Over the past year, Vision‑Language Models have surged from early multimodal experiments to competitive open‑source systems rivaling GPT‑4, driven by higher‑resolution processing, richer vision encoders, better projection layers, and larger curated datasets, yet they still face evaluation difficulties, hallucinations, speed limits, and limited multimodal output.

Computer VisionVision-Language Modelsdeep learning

0 likes · 24 min read

Recent Progress in Vision-Language Models (VLMs)