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cs.CV2026
Structuring Open-Ended NAS: Semi-Automated Design Knowledge Structuring with LLMs for Efficient Neural Architecture Search
Yuiko Sakuma, Masakazu Yoshimura, Marcel Gröpl +4
Current neural architecture search (NAS) methods are often limited by their predefined, restrictive search spaces. While recent large language model (LLM)-assisted NAS methods enab…
cs.CV2026
Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models
Marcel Gröpl, Jaewoo Jung, Seungryong Kim +2
Despite rapid progress, pretrained vision-language models still struggle when answers depend on tiny visual details or on combining clues spread across multiple regions, as in docu…