$Imagen de Portada$

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, An, Zhang, Beichen, Hui, Binyuan, Gao, Bofei, Yu, Bowen, Li, Chengpeng, Liu, Dayiheng, Tu, Jianhong, Zhou, Jingren, Lin, Junyang, Lu, Keming, Xue, Mingfeng, Lin, Runji, Liu, Tianyu, Ren, Xingzhang, Zhang, Zhenru
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ProcessBench: Identifying Process Errors in Mathematical Reasoning
por: Zheng, Chujie, et al.
Publicado: (2024)

The Lessons of Developing Process Reward Models in Mathematical Reasoning
por: Zhang, Zhenru, et al.
Publicado: (2025)

START: Self-taught Reasoner with Tools
por: Li, Chengpeng, et al.
Publicado: (2025)

Qwen2.5 Technical Report
por: Qwen, et al.
Publicado: (2024)

Qwen2.5-Coder Technical Report
por: Hui, Binyuan, et al.
Publicado: (2024)

Qwen2 Technical Report
por: Yang, An, et al.
Publicado: (2024)

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

Language Models can Self-Lengthen to Generate Long Texts
por: Quan, Shanghaoran, et al.
Publicado: (2024)

Qwen3 Technical Report
por: Yang, An, et al.
Publicado: (2025)

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning
por: Li, Chengpeng, et al.
Publicado: (2024)

Qwen2.5-1M Technical Report
por: Yang, An, et al.
Publicado: (2025)

WorldPM: Scaling Human Preference Modeling
por: Wang, Binghai, et al.
Publicado: (2025)

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback
por: Gao, Bofei, et al.
Publicado: (2024)

Qwen3-VL Technical Report
por: Bai, Shuai, et al.
Publicado: (2025)

Qwen3-Omni Technical Report
por: Xu, Jin, et al.
Publicado: (2025)

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
por: Zhang, Yanzhao, et al.
Publicado: (2025)

Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
por: Li, Mingxin, et al.
Publicado: (2026)

Qwen3-ASR Technical Report
por: Shi, Xian, et al.
Publicado: (2026)

Qwen-Image Technical Report
por: Wu, Chenfei, et al.
Publicado: (2025)

Qwen3-TTS Technical Report
por: Hu, Hangrui, et al.
Publicado: (2026)

Qwen2-Audio Technical Report
por: Chu, Yunfei, et al.
Publicado: (2024)

Qwen3Guard Technical Report
por: Zhao, Haiquan, et al.
Publicado: (2025)

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
por: Dong, Guanting, et al.
Publicado: (2023)

Qwen3-Coder-Next Technical Report
por: Cao, Ruisheng, et al.
Publicado: (2026)

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
por: Bi, Baolong, et al.
Publicado: (2025)

Qwen2.5-Omni Technical Report
por: Xu, Jin, et al.
Publicado: (2025)

Qwen-Image-2.0 Technical Report
por: Zhao, Bing, et al.
Publicado: (2026)

Parallel Scaling Law for Language Models
por: Chen, Mouxiang, et al.
Publicado: (2025)

Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment
por: Lu, Keming, et al.
Publicado: (2024)

PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts
por: Wang, Yiming, et al.
Publicado: (2025)

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
por: Qiu, Zihan, et al.
Publicado: (2025)

Qwen2.5-VL Technical Report
por: Bai, Shuai, et al.
Publicado: (2025)

CoRT: Code-integrated Reasoning within Thinking
por: Li, Chengpeng, et al.
Publicado: (2025)

Teaching Language Models to Reason with Tools
por: Li, Chengpeng, et al.
Publicado: (2025)

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
por: Dong, Guanting, et al.
Publicado: (2024)

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
por: Wang, Peng, et al.
Publicado: (2024)

Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window
por: Tang, Qiaoyu, et al.
Publicado: (2025)

MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning
por: Li, Xiaoyuan, et al.
Publicado: (2025)

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
por: Quan, Shanghaoran, et al.
Publicado: (2025)

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
por: Li, Chengpeng, et al.
Publicado: (2023)