Author

Abulhair Saparov

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Preprint Oct 2026

DeclineCraft: A RAG Abstention Benchmark for Jointly Measuring Combined Retrieval and Parametric Knowledge

Reliable retrieval-augmented generation (RAG) requires recognizing when neither retrieved documents nor parametric knowledge supports an answer. We introduce DeclineCraft, a dynamic abstention benchmark whose unanswerable questions target Minecraft feature additions after a corpus cut-off, with audits of possible param...

Atharva Thakur, Abulhair Saparov, Bruno Ribeiro · 0 citations

#artificial intelligence Preprint May 2026

How Deep Can LLMs Learn to Reason? Expressiveness Is Key

ScaleLogic is introduced, a synthetic logical reasoning framework that offers independent control over two axes of difficulty: the depth of the required proof planning and the expressiveness of the underlying formal system.

Tianle Wang, Zhaoyang Wang, Guangchen Lan et al. · 1 citation

Repairing Graphic Design Layouts After Content, Asset, and Canvas Updates: A Source-Conditioned Benchmark

This work defines the task as post-instantiation layout adaptation as post-instantiation layout adaptation and proposes a source-conditioned benchmark, which shows that source-conditioned evaluation is valuable for layout generation.

D. Khanh, Le, M. N. Tran et al. · 1 citation