most citedEasy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization

3 citations · 4 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2025

Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings

Aakriti Agrawal, Gouthaman KV, Rohith Aralikatti +6

Hallucinations in Large Vision-Language Models (LVLMs) remain a persistent challenge, often stemming from inadequate integration of visual information during multimodal reasoning.…

cs.CV2024

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension

Xiyao Wang, Zhengyuan Yang, Linjie Li +6

Despite significant advancements in vision-language models (VLMs), there lacks effective approaches to enhance response quality by scaling inference-time computation. This capabili…