Don't Overthink, Don't Underthink: Toward Adaptive Reasoning in Agentic AI
cs.AI, cs.CL
Submitted: 2026-08-26
Updated: 2026-08-26
Terminology
Sources
- Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
- Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
- Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets
- Efficient Agents: Building Effective Agents While Reducing Cost
- ReAct: Synergizing Reasoning and Acting in Language Models
- When More Thinking Hurts: Overthinking in LLM Test-Time Compute Scaling
- Exploring the Necessity of Reasoning in LLM-based Agent Scenarios
- Phi-4-reasoning Technical Report
- OptimalThinkingBench: Evaluating Over and Underthinking in LLMs
- Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions
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