5 papers · 1 filter
Beyond the Global Scores: Fine-Grained Token Grounding as a Robust Detector of LVLM Hallucinations
Tuan Dung Nguyen, Minh Khoi Ho, Qi Chen +8
Large vision-language models (LVLMs) achieve strong performance on visual reasoning tasks but remain highly susceptible to hallucination. Existing detection methods predominantly r…
ChartAB: A Benchmark for Chart Grounding & Dense Alignment
Aniruddh Bansal, Davit Soselia, Dang Nguyen +1
Charts play an important role in visualization, reasoning, data analysis, and the exchange of ideas among humans. However, existing vision-language models (VLMs) still lack accurat…
FaSTA: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing
Advait Gupta, Rishie Raj, Dang Nguyen +1
We develop a cost-efficient neurosymbolic agent to address challenging multi-turn image editing tasks such as ``Detect the bench in the image while recoloring it to pink. Also, rem…
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
Yijun Liang, Ming Li, Chenrui Fan +7
Color plays an important role in human perception and usually provides critical clues in visual reasoning. However, it is unclear whether and how vision-language models (VLMs) can…
CoSTA: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing
Advait Gupta, NandaKiran Velaga, Dang Nguyen +1
Text-to-image models like stable diffusion and DALLE-3 still struggle with multi-turn image editing. We decompose such a task as an agentic workflow (path) of tool use that address…