5 papers · 1 filter
Scored vs. Generated Readouts in Behavioral Language Models: An Empirical Study of Elicitation Format
Touchapon Kraisingkorn, Krittin Pachtrachai, Wachiravit Modecrua
Language models fine-tuned on customer behavior can predict outcomes and generate explanations, but these readouts are often treated as interchangeable. Holding model checkpoint an…
Large Behavior Model: A Promptable Digital Twin of the Retail Customer
Wachiravit Modecrua, Krittin Pachtrachai, Touchapon Kraisingkorn
Customer behavior modeling underpins recommendation, marketing, and decision support, yet existing approaches either optimize predictive accuracy without explaining decisions or si…
Multi-Turn Reinforcement Learning for Tool-Calling Agents with Iterative Reward Calibration
Wachiravit Modecrua, Krittanon Kaewtawee, Krittin Pachtrachai +1
Training tool-calling agents with reinforcement learning on multi-turn tasks remains challenging due to sparse outcome rewards and difficult credit assignment across conversation t…
ROAD: Reflective Optimization via Automated Debugging for Zero-Shot Agent Alignment
Natchaya Temyingyong, Daman Jain, Neeraj Kumarsahu +6
Automatic Prompt Optimization (APO) has emerged as a critical technique for enhancing Large Language Model (LLM) performance, yet current state-of-the-art methods typically rely on…
Cloning a Conversational Voice AI Agent from Call\,Recording Datasets for Telesales
Krittanon Kaewtawee, Wachiravit Modecrua, Krittin Pachtrachai +1
Recent advances in language and speech modelling have made it possible to build autonomous voice assistants that understand and generate human dialogue in real time. These systems…