collaborators
Showing cs.CLShow all

6 papers · 1 filter

cs.CL2026

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

Kanpat Vesessook, Saksorn Ruangtanusak

Speech-to-speech systems must solve tasks whose requirements emerge across conversational turns. We introduce SpeechConversationBench (SCB), a focused evaluation of spoken mathemat…

cs.CL2026

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

Pakhapoom Sarapat, Saksorn Ruangtanusak, Kunat Pipatanakul +1

We investigate the problem of role-capability leakage (RCL), in which a role-prompted reasoning model generates convincing in-role text while continuing to exhibit capabilities on…

cs.CL2026

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

My Chiffon Nguyen, Aulia Adila, Saksorn Ruangtanusak +4

While AI development and evaluation for Southeast Asia (SEA) has grown rapidly, agent capabilities in regional languages are still poorly understood despite its importance to sover…

cs.CL2025

Talk Less, Call Right: Enhancing Role-Play LLM Agents with Automatic Prompt Optimization and Role Prompting

Saksorn Ruangtanusak, Pittawat Taveekitworachai, Kunat Pipatanakul

This report investigates approaches for prompting a tool-augmented large language model (LLM) to act as a role-playing dialogue agent in the API track of the Commonsense Persona-gr…

cs.CL2025

Thai Semantic End-of-Turn Detection for Real-Time Voice Agents

Thanapol Popit, Natthapath Rungseesiripak, Monthol Charattrakool +1

Fluid voice-to-voice interaction requires reliable and low-latency detection of when a user has finished speaking. Traditional audio-silence end-pointers add hundreds of millisecon…

cs.CL2025

DoTA-RAG: Dynamic of Thought Aggregation RAG

Saksorn Ruangtanusak, Natthapath Rungseesiripak, Peerawat Rojratchadakorn +2

In this paper, we introduce DoTA-RAG (Dynamic-of-Thought Aggregation RAG), a retrieval-augmented generation system optimized for high-throughput, large-scale web knowledge indexes.…