Jeonghoon Shim — accepted AI-conference papers

2026

Non-Collaborative User Simulators for Tool Agents

Jeonghoon Shim, Woojung Song, Cheyon Jin, Seungwon KooK, Yohan Jo

ICLR 2026poster

Tool agents interact with users through multi-turn dialogues to accomplish various tasks. Recent studies have adopted user simulation methods to develop these agents in multi-turn settings. However, existing user simulators tend to be agent-friendly, exhibiting only cooperative behaviors, which fail…

Cited by 0 Source ↗code ↗Scholar ↗

2025

ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models

Jeonghoon Shim, Gyuhyeon Seo, Cheongsu Lim, Yohan Jo

ICLR 2025poster

Tool-Augmented Language Models (TALMs) leverage external APIs to answer user queries across various domains. However, existing benchmark datasets for TALM research often feature simplistic dialogues that do not reflect real-world scenarios, such as the need for models to ask clarifying questions or…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗