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Author

Igor Gilitschenski

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Preprint Oct 2026

PRISM-BENCH: Diagnosing Grounded and Faithful Multimodal Reasoning Beyond Final-Answer Accuracy

Final-answer accuracy reports whether a vision-language model was right, but not whether its answer was grounded in the image, whether its stated reasoning reflects that evidence, or what the answer cost to produce. Those are the properties that decide whether a system can be deployed. We present PRISM-BENCH, a benchma...

Vansh Bhatia, Mehdi Rezagholizadeh, Parsa Ashrafi Fashi et al. · 0 citations
Jul 2026

SeededGrasp: Language-Guided Grasping in Complex Scenes with Multiple Embodiments

This work proposes SeededGrasp, a novel data-efficient framework that enables a VLM to predict a seed point to be used as conditioning for a subsequent lightweight grasp-generation model, enabling multi-embodiment support while bypassing the need for expensive end-to-end training.

Yang Xu, Gurpreet Singh Mukker, Raymond Wang et al. · 0 citations

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