Enregistré dans:
| Auteurs principaux: | Hao, Yifan, Chao, Fangning, Hao, Yaqian, Cui, Zhaojun, Bai, Huan, Zhang, Haiyu, Liu, Yankai, Deng, Chao, Feng, Junlan |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2507.19748 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Align to the Pivot: Dual Alignment with Self-Feedback for Multilingual Math Reasoning
par: Zhao, Chunxu, et autres
Publié: (2026)
par: Zhao, Chunxu, et autres
Publié: (2026)
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
par: Hu, Peng, et autres
Publié: (2024)
par: Hu, Peng, et autres
Publié: (2024)
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
par: Wang, Jingyuan, et autres
Publié: (2025)
par: Wang, Jingyuan, et autres
Publié: (2025)
HarmoniFuse: A Component-Selective and Prompt-Adaptive Framework for Multi-Task Speech Language Modeling
par: Si, Yuke, et autres
Publié: (2025)
par: Si, Yuke, et autres
Publié: (2025)
GenDistiller: Distilling Pre-trained Language Models based on an Autoregressive Generative Model
par: Gao, Yingying, et autres
Publié: (2024)
par: Gao, Yingying, et autres
Publié: (2024)
Teaching Audio Models to Reason: A Unified Framework for Source- and Layer-wise Distillation
par: Yang, Runyan, et autres
Publié: (2025)
par: Yang, Runyan, et autres
Publié: (2025)
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
par: Peng, Shuai, et autres
Publié: (2024)
par: Peng, Shuai, et autres
Publié: (2024)
MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing
par: Zhou, Hao, et autres
Publié: (2024)
par: Zhou, Hao, et autres
Publié: (2024)
JT-Safe: Intrinsically Enhancing the Safety and Trustworthiness of LLMs
par: Feng, Junlan, et autres
Publié: (2025)
par: Feng, Junlan, et autres
Publié: (2025)
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification
par: Hao, Yaqian, et autres
Publié: (2024)
par: Hao, Yaqian, et autres
Publié: (2024)
MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts
par: Wang, Qing, et autres
Publié: (2025)
par: Wang, Qing, et autres
Publié: (2025)
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning
par: Yin, Shuo, et autres
Publié: (2024)
par: Yin, Shuo, et autres
Publié: (2024)
ReliableMath: Benchmark of Reliable Mathematical Reasoning on Large Language Models
par: Xue, Boyang, et autres
Publié: (2025)
par: Xue, Boyang, et autres
Publié: (2025)
Mitigating Prompt-Induced Hallucinations in Large Language Models via Structured Reasoning
par: Hao, Jinbo, et autres
Publié: (2026)
par: Hao, Jinbo, et autres
Publié: (2026)
WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
par: Chen, Yue, et autres
Publié: (2025)
par: Chen, Yue, et autres
Publié: (2025)
Palette of Language Models: A Solver for Controlled Text Generation
par: Yang, Zhe, et autres
Publié: (2025)
par: Yang, Zhe, et autres
Publié: (2025)
VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency
par: Han, Vernon Toh Yan, et autres
Publié: (2023)
par: Han, Vernon Toh Yan, et autres
Publié: (2023)
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
par: Shi, Wenhao, et autres
Publié: (2024)
par: Shi, Wenhao, et autres
Publié: (2024)
JT-DA: Enhancing Data Analysis with Tool-Integrated Table Reasoning Large Language Models
par: Chi, Ce, et autres
Publié: (2025)
par: Chi, Ce, et autres
Publié: (2025)
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning
par: Ma, Jingkun, et autres
Publié: (2024)
par: Ma, Jingkun, et autres
Publié: (2024)
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
par: Wu, Yanan, et autres
Publié: (2024)
par: Wu, Yanan, et autres
Publié: (2024)
Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback
par: Zhang, Xiaoying, et autres
Publié: (2025)
par: Zhang, Xiaoying, et autres
Publié: (2025)
AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
par: Luo, Haipeng, et autres
Publié: (2025)
par: Luo, Haipeng, et autres
Publié: (2025)
MathClean: A Benchmark for Synthetic Mathematical Data Cleaning
par: Liang, Hao, et autres
Publié: (2025)
par: Liang, Hao, et autres
Publié: (2025)
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
par: Zhang, Shimao, et autres
Publié: (2024)
par: Zhang, Shimao, et autres
Publié: (2024)
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
par: Wang, Zhijun, et autres
Publié: (2025)
par: Wang, Zhijun, et autres
Publié: (2025)
TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models
par: Li, Ce, et autres
Publié: (2025)
par: Li, Ce, et autres
Publié: (2025)
MathRobust-LV: Evaluation of Large Language Models' Robustness to Linguistic Variations in Mathematical Reasoning
par: Kirtane, Neeraja, et autres
Publié: (2025)
par: Kirtane, Neeraja, et autres
Publié: (2025)
TabularMath: Understanding Math Reasoning over Tables with Large Language Models
par: Tian, Shi-Yu, et autres
Publié: (2025)
par: Tian, Shi-Yu, et autres
Publié: (2025)
MathScape: Benchmarking Multimodal Large Language Models in Real-World Mathematical Contexts
par: Liang, Hao, et autres
Publié: (2024)
par: Liang, Hao, et autres
Publié: (2024)
CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models
par: Liu, Wentao, et autres
Publié: (2024)
par: Liu, Wentao, et autres
Publié: (2024)
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
par: Zou, Chengke, et autres
Publié: (2024)
par: Zou, Chengke, et autres
Publié: (2024)
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
par: He, Zhiwei, et autres
Publié: (2025)
par: He, Zhiwei, et autres
Publié: (2025)
MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems
par: Xie, Wenbei, et autres
Publié: (2024)
par: Xie, Wenbei, et autres
Publié: (2024)
An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems
par: Hao, Yuren, et autres
Publié: (2025)
par: Hao, Yuren, et autres
Publié: (2025)
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
par: Yang, Zhen, et autres
Publié: (2024)
par: Yang, Zhen, et autres
Publié: (2024)
PARAMANU-GANITA: Can Small Math Language Models Rival with Large Language Models on Mathematical Reasoning?
par: Niyogi, Mitodru, et autres
Publié: (2024)
par: Niyogi, Mitodru, et autres
Publié: (2024)
ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
par: Pham, Quang Hieu, et autres
Publié: (2025)
par: Pham, Quang Hieu, et autres
Publié: (2025)
Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On
par: Zeng, Liang, et autres
Publié: (2024)
par: Zeng, Liang, et autres
Publié: (2024)
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
par: Luo, Haipeng, et autres
Publié: (2023)
par: Luo, Haipeng, et autres
Publié: (2023)
Documents similaires
-
Align to the Pivot: Dual Alignment with Self-Feedback for Multilingual Math Reasoning
par: Zhao, Chunxu, et autres
Publié: (2026) -
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
par: Hu, Peng, et autres
Publié: (2024) -
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
par: Wang, Jingyuan, et autres
Publié: (2025) -
HarmoniFuse: A Component-Selective and Prompt-Adaptive Framework for Multi-Task Speech Language Modeling
par: Si, Yuke, et autres
Publié: (2025) -
GenDistiller: Distilling Pre-trained Language Models based on an Autoregressive Generative Model
par: Gao, Yingying, et autres
Publié: (2024)