$Cover Image$

Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Haoran, Peng, Baolin, Awadalla, Hany, Chen, Dongdong, Chen, Yen-Chun, Gao, Mei, Kim, Young Jin, Li, Yunsheng, Ren, Liliang, Shen, Yelong, Wang, Shuohang, Xu, Weijian, Gao, Jianfeng, Chen, Weizhu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
by: Ren, Liliang, et al.
Published: (2025)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example
by: Wang, Yiping, et al.
Published: (2025)

SciAgent: Tool-augmented Language Models for Scientific Reasoning
by: Ma, Yubo, et al.
Published: (2024)

Rethinking Language Model Scaling under Transferable Hypersphere Optimization
by: Ren, Liliang, et al.
Published: (2026)

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
by: Microsoft, et al.
Published: (2025)

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
by: Ren, Liliang, et al.
Published: (2024)

Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation
by: Li, Zichong, et al.
Published: (2026)

GRIN: GRadient-INformed MoE
by: Liu, Liyuan, et al.
Published: (2024)

Improving Code Localization with Repository Memory
by: Wang, Boshi, et al.
Published: (2025)

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
by: Xu, Haoran, et al.
Published: (2023)

Exploring the Mystery of Influential Data for Mathematical Reasoning
by: Ni, Xinzhe, et al.
Published: (2024)

Benchmarking Large and Small MLLMs
by: Feng, Xuelu, et al.
Published: (2025)

Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
by: Huang, Yiming, et al.
Published: (2024)

ThetaEvolve: Test-time Learning on Open Problems
by: Wang, Yiping, et al.
Published: (2025)

Test-time Recursive Thinking: Self-Improvement without External Feedback
by: Zhuang, Yufan, et al.
Published: (2026)

Multi-LoRA Composition for Image Generation
by: Zhong, Ming, et al.
Published: (2024)

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
by: Gou, Zhibin, et al.
Published: (2023)

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models
by: Xu, Yinggan, et al.
Published: (2025)

Olympus: A Universal Task Router for Computer Vision Tasks
by: Lin, Yuanze, et al.
Published: (2024)

Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model
by: Yin, Yueqin, et al.
Published: (2025)

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
by: Zhan, Zheng, et al.
Published: (2025)

MARGE: Improving Math Reasoning for LLMs with Guided Exploration
by: Gao, Jingyue, et al.
Published: (2025)

Self-Consistency Boosts Calibration for Math Reasoning
by: Wang, Ante, et al.
Published: (2024)

Latent Recurrent Transformer: Architecture Exploration, Training Strategies, and Scaling Behavior
by: Huang, Zeyi, et al.
Published: (2026)

Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
by: Yu, Xiao, et al.
Published: (2025)

Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
by: Zhang, Zhen, et al.
Published: (2025)

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge
by: Lin, Yuanze, et al.
Published: (2024)

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
by: Liang, Xiao, et al.
Published: (2025)

Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
by: Yu, Yiyao, et al.
Published: (2025)

Efficiently Editing Mixture-of-Experts Models with Compressed Experts
by: He, Yifei, et al.
Published: (2025)

RLBR: Reinforcement Learning with Biasing Rewards for Contextual Speech Large Language Models
by: Ren, Bo, et al.
Published: (2026)

AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
by: Chen, Yang, et al.
Published: (2025)

PCL-Reasoner-V1.5: Advancing Math Reasoning with Offline Reinforcement Learning
by: Lu, Yao, et al.
Published: (2026)

Large Language Models are Limited in Out-of-Context Knowledge Reasoning
by: Hu, Peng, et al.
Published: (2024)

FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains
by: Zhao, Yilun, et al.
Published: (2023)

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
by: Lu, Pan, et al.
Published: (2023)

AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
by: Liu, Zihan, et al.
Published: (2024)

Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
by: Liang, Xiao, et al.
Published: (2026)

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
by: Shao, Zhihong, et al.
Published: (2024)

An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
by: Chen, Zui, et al.
Published: (2024)