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Y. Şahin

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Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models

ADAS is proposed, a training-free reranking rule that leaves the base sampler's stopping rule unchanged and greedily discounts each token-wise confidence score according to its attention to already selected positions, weighted by their prediction uncertainty.

Y. Şahin, Ahmed R. Saikia, V. Cevher et al. · 1 citation
Book Open access Jul 2026

LLMigrate: Large Language Models as Migration Controllers in Island-Based Evolutionary Design of Soft Robots

This work proposes an LLM-guided migration controller for island-model evolutionary design, where an LLM receives compact summaries of island states including fitness statistics and morphology information and outputs migration decisions, and positions LLMs as coordinators of inter-island information flow in evolutionary robotics.

Emir Buğra Şahin, Ege Demir, Bilgehan Altıntaş et al. · 0 citations

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