Thinking Inertia: LLMs Keep Thinking When Told Not To
cs.CL
Submitted: 2026-10-08
Updated: 2026-10-08
Terminology
Sources
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
- Constitutional AI: Harmlessness from AI Feedback
- Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
- Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
- Training Verifiers to Solve Math Word Problems
- DeepSeek-V3 Technical Report
- Thinkless: LLM Learns When to Think
- Token-Budget-Aware LLM Reasoning
- Measuring Mathematical Problem Solving With the MATH Dataset
- Think Only When You Need with Large Hybrid-Reasoning Models
- C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness
- Large Language Models are Zero-Shot Reasoners
- Measuring Faithfulness in Chain-of-Thought Reasoning
- Prompt Repetition Improves Non-Reasoning LLMs
- s1: Simple test-time scaling
- Self-Training Elicits Concise Reasoning in Large Language Models
- Stealing Reasoning Traces from Proprietary LLM APIs
- Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
- Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL
- Text Embeddings by Weakly-Supervised Contrastive Pre-training
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