Research map / Large language models / Reasoning and chain of thought
AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints
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Proposes AutoTool, an SFT warm-up followed by GRPO-style RL with decoupled adaptive entropy constraints that lets a Qwen2.5-7B tool-use model automatically choose between think and no-think modes, improving BFCL accuracy while cutting tokens.
Problem
Direct RL for tool use suffers reasoning collapse (shrinking thinking length), while scaled-up distilled reasoning models overthink simple tool-use queries at high token cost.
Approach
Warm-up SFT on mixed think/no-think data, then RL with an entropy loss decoupled by trajectory type: fixed entropy coefficient for short responses and an adaptively updated coefficient for long reasoning to keep entropy above a target, plus an asymmetric mode-dependent answer reward.
Key results
- AutoTool-7B reaches 70.12 overall BFCL accuracy versus 53.69 for Qwen2.5-7B-Instruct and 58.17 for PubTool-SFT.
- AutoTool uses about 183 tokens versus about 966 for the distilled model, a roughly 81% token reduction.
- Thinking rate is 45% on Multi-Turn and 0% on Non-Live, indicating difficulty-dependent mode selection.
Surprising findings
- Direct GRPO on tool use shows response length collapsing while accuracy rises, contrary to math RL trends.
- A fixed length-penalty constraint did not improve performance, while the entropy constraint did.
Limitations
- Evaluated only on a 7B model size in the main experiments; scalability to other sizes and architectures untested.
- Generalization beyond tool-use tasks (e.g., math) not demonstrated.
- Only tested with GRPO; compatibility with other RL algorithms such as PPO or DAPO untested.
Experimental setup
Datasets: ToolACE xLAM APIGen-MT-5k Hermes Function-Calling PubTool
Benchmarks: BFCL API-Bank ACEBench
Metrics: accuracy overall accuracy thinking rate token cost ACU
Baselines: Qwen2.5-7B-Instruct PubTool-SFT PubTool-Distilled PubTool-GRPO Thinkless AdaCtrl ToolRL-7B Tool-N1-7B Qwen3-8B GPT-4o o3 Gemini-2.5-Pro
Builds on: GRPO ToolACE Thinkless AdaCtrl
Closest papers by meaning
- AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning (ICML 2026 · similarity 0.89)
- ReTool: Reinforcement Learning for Strategic Tool Use in LLMs (ICLR 2026 · similarity 0.88)
- ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models (NeurIPS 2025 · similarity 0.88)
- Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL (NeurIPS 2025 · similarity 0.88)
- RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs (ICLR 2026 · similarity 0.87)
- AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy (ICLR 2026 · similarity 0.87)
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