Author

Pittawat Taveekitworachai

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#natural language process... Preprint Oct 2026

AMLworld-Compact: Importance-Weighted Downsampling for Cost-Effective LLM Evaluation and Error Diagnosis

Evaluating large language models (LLMs) on AMLworld's smallest test splits is costly because each of over a million targets requires a separate graph prompt. Sampling reduces this cost, but small balanced subsets change unweighted precision and F1. We introduce AMLworld-Compact, an evaluation set that retains every ill...

Natapong Nitarach, Phume Ngampornsukswadi, Pittawat Taveekitworachai et al. · 0 citations

#artificial intelligence Preprint Sep 2026

When a Kindergartener Solves Calculus: Measuring Capability Leakage in Role-Prompted Reasoning Models

Injection is proposed, an inference-time intervention that combines explicit, role-specific capability guidelines with a guiding prefilled response prefix that improves role-capability alignment across models, reducing above-role accuracy by up to 0.562 while preserving in-role accuracy with a marginal drop of less tha...

Pakhapoom Sarapat, Saksorn Ruangtanusak, Kunat Pipatanakul et al. · 0 citations