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Author

Saksorn Ruangtanusak

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#artificial intelligence Preprint Sep 2026

SCB: SpeechConversationBench for Evaluating Multi-Turn Reasoning in Speech-to-Speech Models

Speech-to-speech systems must solve tasks whose requirements emerge across conversational turns. We introduce SpeechConversationBench (SCB), a focused evaluation of spoken mathematical reasoning using 103 sharded GSM8K problems. The framework compares the original problem delivered in one turn (full), its concatenated...

Kanpat Vesessook, Saksorn Ruangtanusak · 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
#artificial intelligence Preprint Jun 2026

SEATauBench: Progressively Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages

SEATauBench is introduced, the first agent-focused evaluation framework for SEA sovereign AI that adapts Tau2-Bench to five languages and evaluates agents across progressively localized settings that vary the language of user-agent interaction, tool specifications, and task domains.

My Chiffon Nguyen, Aulia Adila, Saksorn Ruangtanusak et al. · 0 citations

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