62 citations · 80 across the 16 of their papers we have counts for
4 papers · 1 filter
A Skill-augmented Agentic Framework and Benchmark for Multi-Video Understanding
Yue Zhang, Liqiang Jing, Jia Li +4
Multimodal Large Language Models have achieved strong performance in single-video understanding, yet their ability to reason across multiple videos remains limited. Existing approa…
FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs
Bowen Yan, Zhengsong Zhang, Liqiang Jing +2
The rapid development of Large Vision-Language Models (LVLMs) often comes with widespread hallucination issues, making cost-effective and comprehensive assessments increasingly vit…
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
Liqiang Jing, Xinya Du
Large Vision-Language Models (LVLMs) have demonstrated proficiency in tackling a variety of visual-language tasks. However, current LVLMs suffer from misalignment between text and…
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
Liqiang Jing, Ruosen Li, Yunmo Chen +1
We introduce FaithScore (Faithfulness to Atomic Image Facts Score), a reference-free and fine-grained evaluation metric that measures the faithfulness of the generated free-form an…