Settle: Learning When to Stop Reasoning

arXiv:2609.38997 · cs.CL · Submitted 2026-09-30 · Read on arXiv

cs.CL

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Accuracy — 151× in this paper · explained in 1 episode
• Trace — 82× in this paper · explained in 2 episodes
• Regularization — 20× in this paper · explained in 3 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Redundancy — 3× in this paper · explained in 2 episodes
• Steering — 3× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• KL Regularization — 2× in this paper · explained in 2 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Activation Checkpointing — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
• Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
• SABER: Stability-Aware Early Exit for LLM Reasoning via Adversarial Branch Probing
• Training Verifiers to Solve Math Word Problems
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
• Measuring Mathematical Problem Solving With the MATH Dataset
• ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning
• LoRA: Low-Rank Adaptation of Large Language Models
• The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning
• Efficient Memory Management for Large Language Model Serving with PagedAttention
• Solving Quantitative Reasoning Problems with Language Models
• Decoupled Weight Decay Regularization
• Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models
• s1: Simple test-time scaling
• Self-Training Elicits Concise Reasoning in Large Language Models
• TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
• GPQA: A Graduate-Level Google-Proof Q&A Benchmark
• ESTAR: Early-Stopping Token-Aware Reasoning For Efficient Inference
• Qwen3 Technical Report

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