Papers
1–3 of 3Research Paper·Jan 20, 2026
Finding RELIEF: Shaping Reasoning Behavior without Reasoning Supervision via Belief Engineering
Large reasoning models (LRMs) have achieved remarkable success in complex problem-solving, yet they often suffer from computational redundancy or reasoning unfaithfulness. Current methods for shaping ...
6.0 viability
Research Paper·Feb 26, 2026
Stable Adaptive Thinking via Advantage Shaping and Length-Aware Gradient Regulation
Large reasoning models (LRMs) achieve strong performance through extended reasoning traces, but they often exhibit overthinking behavior for low-complexity queries. Existing efforts to mitigate this i...
3.0 viability
Research Paper·Jan 15, 2026
Are Your Reasoning Models Reasoning or Guessing? A Mechanistic Analysis of Hierarchical Reasoning Models
Hierarchical reasoning model (HRM) achieves extraordinary performance on various reasoning tasks, significantly outperforming large language model-based reasoners. To understand the strengths and pote...
2.0 viability