Most molecular and materials machine-learning models fit correlations across whole molecules or crystals rather than learning the quantum interactions between atomic pairs. Yet bonding, charge redistribution, orbital hybridization, and electronic coupling all emerge from these two-body interactions. We introduce Quantu...
Can Polat, Mustafa Kurban, E. Serpedin et al.· Machine Learning: Science an...· 0 citations
Anatomically plausible segmentation remains challenging because of low contrast, ambiguous boundaries, and modality-specific artifacts. Interactive segmentation has emerged as a promising strategy to guide feature extraction and improve localization, particularly in structurally ambiguous regions. However, existing met...
Mosharof Hossain, Md. Rabiul Islam, Limon Halder et al.· 0 citations
The parity gap is derived, a group-theoretic metric quantifying the piezoelectric tensor freedom permitted by a crystal's proper rotation subgroup but eliminated by inversion symmetry in O(3)$, providing a unified framework to distinguish empirical error reduction from exact structural compliance with physical law.
Can Polat, Mustafa Kurban, E. Serpedin et al.· 0 citations
Results demonstrate that clinically meaningful diagnostic information can be captured through structured radiological descriptions and leveraged by calibrated LLMs for selective referral, and suggests a practical pathway for combining generalist LLM prediction with specialist AI models in medical decision-support syste...
Md. Rabiul Islam, Samir Abdaljalil, E. Serpedin et al.· 0 citations
Multimodal evaluations cannot say whether a vision-language model misread an image or misreasoned about it, because every existing method for separating the two places a second model in the loop. We introduce the render ceiling, a model-free reference for benchmarks built by rendering known objects: inverting the froze...
Can Polat, Mustafa Kurban, E. Serpedin et al.· 0 citations
Machine-learned exchange-correlation functionals correct band gaps at near-semilocal cost, while density-functional tight binding reaches the $10^3$-$10^6$-atom regime; combining them assumes that a better parent yields a better parameterization, but we show it does not. Current-generation functionals are orbital-depen...
Can Polat, Mustafa Kurban, E. Serpedin et al.· 0 citations
An overview of the ImageEval 2026 shared task on culturally grounded Arabic multimodal evaluation is presented, covering spoken visual question answering and image-grounded hallucination detection in English and Modern Standard Arabic, and CRAI-Bench, evaluating the cultural accuracy of text-to-image generation.
CARVE is introduced, a black-box counterfactual probe that compares answer changes under matched SHAM and DESTROY replays, and shows only a weak association with annotated temporal coverage, so CARVE is best understood as a routing signal rather than a direct grounding classifier.
Rama Y. AlHamidi, Rasul Khanbayov, E. Serpedin et al.· 0 citations
C COVER changes the output object: a post-hoc, model-agnostic wrapper that turns any grounder, a trained localizer or a black-box video--language model, into one that emits a temporal region containing the true moment with probability at least $1-\alpha$, by calibrating the quantile of a temporal nonconformity score on...
Aseel A. Mohamed, Rasul Khanbayov, E. Serpedin et al.· 0 citations
This work shows that deterministic, database-grounded verification catches and repairs errors selectively, and that the binding constraint is detection rather than repair, and that the binding constraint is detection rather than repair.
Can Polat, Mustafa Kurban, E. Serpedin et al.· arXiv.org· 0 citations
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