Key-Point-Driven Mathematical Reasoning Distillation of Large Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Xunyu, Li, Jian, Ma, Can, Wang, Weiping |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
by: Zhu, Xunyu, et al.
Published: (2024)
by: Zhu, Xunyu, et al.
Published: (2024)
Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024)
by: Zhu, Xunyu, et al.
Published: (2024)
A Survey on Model Compression for Large Language Models
by: Zhu, Xunyu, et al.
Published: (2023)
by: Zhu, Xunyu, et al.
Published: (2023)
Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
by: Guan, Weixin, et al.
Published: (2026)
by: Guan, Weixin, et al.
Published: (2026)
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
by: Huang, Yiming, et al.
Published: (2024)
by: Huang, Yiming, et al.
Published: (2024)
A Survey on Large Language Models for Mathematical Reasoning
by: Wang, Peng-Yuan, et al.
Published: (2025)
by: Wang, Peng-Yuan, et al.
Published: (2025)
UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models
by: Xu, Xin, et al.
Published: (2025)
by: Xu, Xin, et al.
Published: (2025)
KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning
by: Sun, Wei, et al.
Published: (2025)
by: Sun, Wei, et al.
Published: (2025)
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)
by: Liu, Shuqi, et al.
Published: (2025)
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
by: Zhou, Yue, et al.
Published: (2024)
by: Zhou, Yue, et al.
Published: (2024)
AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
by: Luo, Haipeng, et al.
Published: (2025)
by: Luo, Haipeng, et al.
Published: (2025)
Dissecting Failure Dynamics in Large Language Model Reasoning
by: Zhu, Wei, et al.
Published: (2026)
by: Zhu, Wei, et al.
Published: (2026)
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
by: Peng, Shuai, et al.
Published: (2024)
by: Peng, Shuai, et al.
Published: (2024)
GAUSS: Benchmarking Structured Mathematical Skills for Large Language Models
by: Zhang, Yue, et al.
Published: (2025)
by: Zhang, Yue, et al.
Published: (2025)
Mixed Distillation Helps Smaller Language Model Better Reasoning
by: Li, Chenglin, et al.
Published: (2023)
by: Li, Chenglin, et al.
Published: (2023)
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning
by: Gao, Kuofeng, et al.
Published: (2024)
by: Gao, Kuofeng, et al.
Published: (2024)
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
by: Zhao, Xueliang, et al.
Published: (2025)
by: Zhao, Xueliang, et al.
Published: (2025)
Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction
by: Li, Xinhe, et al.
Published: (2025)
by: Li, Xinhe, et al.
Published: (2025)
Forward-Backward Reasoning in Large Language Models for Mathematical Verification
by: Jiang, Weisen, et al.
Published: (2023)
by: Jiang, Weisen, et al.
Published: (2023)
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations
by: Shen, Bowen, et al.
Published: (2024)
by: Shen, Bowen, et al.
Published: (2024)
Mathematical Reasoning in Large Language Models: Benchmarks, Architectures, Evaluation, and Open Challenges
by: Amjad, Husnain, et al.
Published: (2026)
by: Amjad, Husnain, et al.
Published: (2026)
Distilling Event Sequence Knowledge From Large Language Models
by: Wadhwa, Somin, et al.
Published: (2024)
by: Wadhwa, Somin, et al.
Published: (2024)
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
by: Li, Xiaoyuan, et al.
Published: (2024)
by: Li, Xiaoyuan, et al.
Published: (2024)
S^3cMath: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners
by: Yan, Yuchen, et al.
Published: (2024)
by: Yan, Yuchen, et al.
Published: (2024)
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)
by: Luo, Haipeng, et al.
Published: (2023)
Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation
by: Dai, Chengwei, et al.
Published: (2024)
by: Dai, Chengwei, et al.
Published: (2024)
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
by: Kim, Hyeonwoo, et al.
Published: (2024)
by: Kim, Hyeonwoo, et al.
Published: (2024)
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
by: Wei, Ting-Ruen, et al.
Published: (2025)
by: Wei, Ting-Ruen, et al.
Published: (2025)
Dynamic Early Exit in Reasoning Models
by: Yang, Chenxu, et al.
Published: (2025)
by: Yang, Chenxu, et al.
Published: (2025)
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
by: Kim, Hyunwoo, et al.
Published: (2025)
by: Kim, Hyunwoo, et al.
Published: (2025)
Cross-Modal Knowledge Distillation for Speech Large Language Models
by: Wang, Enzhi, et al.
Published: (2025)
by: Wang, Enzhi, et al.
Published: (2025)
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application
by: Yang, Chuanpeng, et al.
Published: (2024)
by: Yang, Chuanpeng, et al.
Published: (2024)
Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training
by: Xiao, Meng, et al.
Published: (2025)
by: Xiao, Meng, et al.
Published: (2025)
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
by: Wang, Jingyuan, et al.
Published: (2025)
by: Wang, Jingyuan, et al.
Published: (2025)
From Next-Token to Mathematics: The Learning Dynamics of Mathematical Reasoning in Language Models
by: Mishra, Shubhra, et al.
Published: (2024)
by: Mishra, Shubhra, et al.
Published: (2024)
CALM: Curiosity-Driven Auditing for Large Language Models
by: Zheng, Xiang, et al.
Published: (2025)
by: Zheng, Xiang, et al.
Published: (2025)
Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
by: Zhao, Zilong, et al.
Published: (2024)
by: Zhao, Zilong, et al.
Published: (2024)
Large Language Models for Mathematical Analysis
by: Chen, Ziye, et al.
Published: (2024)
by: Chen, Ziye, et al.
Published: (2024)
Automatic Instruction Evolving for Large Language Models
by: Zeng, Weihao, et al.
Published: (2024)
by: Zeng, Weihao, et al.
Published: (2024)
Similar Items
-
Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
by: Zhu, Xunyu, et al.
Published: (2024) -
Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024) -
A Survey on Model Compression for Large Language Models
by: Zhu, Xunyu, et al.
Published: (2023) -
Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
by: Guan, Weixin, et al.
Published: (2026) -
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
by: Huang, Yiming, et al.
Published: (2024)