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cs.CV2024
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
Yue Zhang, Liqiang Jing, Vibhav Gogate
We introduce a new task called Defeasible Visual Entailment (DVE), where the goal is to allow the modification of the entailment relationship between an image premise and a text hy…
cs.CV2024★ 2 cited
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
Yue Chang, Liqiang Jing, Xiaopeng Zhang +1
Hallucination is a common problem for Large Vision-Language Models (LVLMs) with long generations which is difficult to eradicate. The generation with hallucinations is partially in…