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Xingming Long

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Preprint Sep 2026

Beyond Saying Less: Fine-Grained Alignment for Informative and Faithful Vision-Language Models

Object hallucination remains a major challenge for large vision-language models. While off-policy preference optimization proves to be an effective solution, on-policy reinforcement learning provides a more promising direction as it directly targets a model's current failure modes. However, we find that without fine-gr...

Xing-Ming Long, Jie Zhang, Yue-Cong Min et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Making Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language Models

This work proposes NTEP-R (NTEP Reward), a supervision mechanism ensuring that each tool invocation strictly advances the reasoning process toward the final solution, and introduces a non-repeated-goal regularizer to penalize redundant calls that revisit satisfied NTEP goals.

Xing-Ming Long, Yu Liu, Zhi-Wei Yang et al. · 0 citations

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