← Search

Edgar Meij

2 accepted papers

2025

A Joint Optimization Framework for Enhancing Efficiency of Tool Utilization in LLM Agents

ACL 2025finding

Large Language Models (LLMs) augmented with external tools have demonstrated remarkable capabilities in complex problem solving. Existing efforts for tool utilization typically involve an LLM agent that contains instructions on using the description of the available tools to determine and call the t…

2021

Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation

EMNLP 2021finding

While state-of-the-art Dialogue State Tracking (DST) models show promising results, all of them rely on a traditional cross-entropy loss function during the training process, which may not be optimal for improving the joint goal accuracy. Although several approaches recently propose augmenting the t…