Cover Image

Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Li, Zhang, Changhao, Xiu, Zengqi, Lu, Kai, Yu, Xin, Zhang, Kui, Wu, Wenjun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
by: Xie, Congkai, et al.
Published: (2025)

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding
by: Wang, Ziyang, et al.
Published: (2026)

ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
by: Pei, Qizhi, et al.
Published: (2025)

Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time Scaling
by: Trung, Bui The, et al.
Published: (2026)

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
by: Lin, Honglin, et al.
Published: (2025)

Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning
by: Zhang, Hang, et al.
Published: (2026)

Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
by: Fu, Tingchen, et al.
Published: (2025)

IMAGINE: Integrating Multi-Agent System into One Model for Complex Reasoning and Planning
by: Zhang, Xikai, et al.
Published: (2025)

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment
by: Xu, Kaishuai, et al.
Published: (2024)

Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models
by: Liu, Ruikang, et al.
Published: (2025)

Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference
by: Xie, Wenxuan, et al.
Published: (2026)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
by: Wang, Jingyuan, et al.
Published: (2025)

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs
by: Yang, Chang, et al.
Published: (2025)

Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing
by: Xu, Kaishuai, et al.
Published: (2024)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
by: Xi, Zhiheng, et al.
Published: (2023)

JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation
by: Bi, Zhenyu, et al.
Published: (2025)

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
by: Shao, Chenyang, et al.
Published: (2025)

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
by: Shojaee, Parshin, et al.
Published: (2025)

Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems
by: Kai, Ding, et al.
Published: (2024)

TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models
by: Zhang, Liancheng, et al.
Published: (2026)

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models
by: Liu, Zeyu, et al.
Published: (2025)

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
by: Zhang, Yichi, et al.
Published: (2025)

Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism
by: Wang, Zhiwei, et al.
Published: (2024)

Understanding and Steering the Cognitive Behaviors of Reasoning Models at Test-Time
by: Zhang, Zhenyu, et al.
Published: (2025)

Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024)

Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations
by: Ong, Kai Tzu-iunn, et al.
Published: (2024)

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
by: Zhu, Xunyu, et al.
Published: (2024)

NPG-Muse: Scaling Long Chain-of-Thought Reasoning with NP-Hard Graph Problems
by: Wang, Yuyao, et al.
Published: (2025)

What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
by: Zhao, Yuze, et al.
Published: (2026)

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
by: Liu, Xiao, et al.
Published: (2024)

Probing the "Psyche'' of Large Reasoning Models: Understanding Through a Human Lens
by: Chen, Yuxiang, et al.
Published: (2025)

ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
by: Yang, Ling, et al.
Published: (2025)

DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic
by: Wu, Yuheng, et al.
Published: (2025)

Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
by: Zhang, Xinliang Frederick, et al.
Published: (2024)

Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling
by: Li, Yafu, et al.
Published: (2026)

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
by: Wang, Xinyi, et al.
Published: (2024)

TabularMath: Understanding Math Reasoning over Tables with Large Language Models
by: Tian, Shi-Yu, et al.
Published: (2025)

TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs
by: Wang, Ziyi, et al.
Published: (2026)

Understanding Inter-Session Intentions via Complex Logical Reasoning
by: Bai, Jiaxin, et al.
Published: (2023)

MatryoshkaThinking: Recursive Test-Time Scaling Enables Efficient Reasoning
by: Chen, Hongwei, et al.
Published: (2025)