overthinking
In the context of AI, overthinking may refer to overly complex models or decision-making processes that attempt to account for too many variables, possibly leading to inefficiencies or failures in practical scenarios.
- Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
- Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models
- Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
- For Better or for Worse, Transformers Seek Patterns for Memorization
- Mitigating Overthinking in Large Reasoning Models via Manifold Steering
- QFFT, Question-Free Fine-Tuning for Adaptive Reasoning
- ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning