4 papers
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…
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…
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…
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.…