Papers
1–3 of 3Research Paper·Feb 26, 2026
Strategy Executability in Mathematical Reasoning: Leveraging Human-Model Differences for Effective Guidance
Example-based guidance is widely used to improve mathematical reasoning at inference time, yet its effectiveness is highly unstable across problems and models-even when the guidance is correct and pro...
8.0 viability
Research Paper·Jan 21, 2026
PCL-Reasoner-V1.5: Advancing Math Reasoning with Offline Reinforcement Learning
We present PCL-Reasoner-V1.5, a 32-billion-parameter large language model (LLM) for mathematical reasoning. The model is built upon Qwen2.5-32B and refined via supervised fine-tuning (SFT) followed by...
5.0 viability
Research Paper·Feb 12, 2026
Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation
Multimodal large language models (MLLMs) have achieved strong performance on perception-oriented tasks, yet their ability to perform mathematical spatial reasoning, defined as the capacity to parse an...
5.0 viability