ToolRACER: A Robust Agentic Conversation Emulation Resource for Agent Training and Evaluation
cs.CL, cs.AI
Submitted: 2026-10-06
Updated: 2026-10-06
Sources
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
- ACEBench: Who Wins the Match Point in Tool Usage?
- Beyond Cooperative Simulators: Generating Realistic User Personas for Robust Evaluation of LLM Agents
- Scaling Synthetic Data Creation with 1,000,000,000 Personas
- ToolACE: Winning the Points of LLM Function Calling
- APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
- MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings
- Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents
- Qwen3 Technical Report
- MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation
- ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
- Multi-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic Missions
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