Papers with unified reasoning framework
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers (2023.findings-acl)
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| Challenge: | ReasonFormer is a unified reasoning framework for complex decision-making . it is based on the dual-process theory of cognitive science, where two cognitive systems interact to form a whole reasoning process. |
| Approach: | They propose a unified reasoning framework that mirrors the modular reasoning process of humans . they decouple the representation module and the reasoning modules to capture different levels of cognition . |
| Outcome: | The proposed framework shows that humans can perform better in complex decision-making tasks. |
NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons (2026.acl-long)
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| Challenge: | Existing Large Reasoning Models (LRMs) lack explainability and controllability . Existing models target isolated levels without unification, while relying on RL . |
| Approach: | They propose an explainable, controllable, and unified reasoning framework driven by MoN. |
| Outcome: | The proposed framework achieves performance gains of 27.0% while reducing token consumption by 19.6% 63.3%. |