Cover Image

Teaching Language Models to Reason with Tools

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Chengpeng, Tang, Zhengyang, Li, Ziniu, Xue, Mingfeng, Bao, Keqin, Ding, Tian, Sun, Ruoyu, Wang, Benyou, Wang, Xiang, Lin, Junyang, Liu, Dayiheng
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

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

Self-Evolving Critique Abilities in Large Language Models
by: Tang, Zhengyang, et al.
Published: (2025)

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques
by: Tang, Zhengyang, et al.
Published: (2025)

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

Chain of Execution Supervision Promotes General Reasoning in Large Language Models
by: Chen, Nuo, et al.
Published: (2025)

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

Unified Data Selection for LLM Reasoning
by: Li, Xiaoyuan, et al.
Published: (2026)

HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning
by: Li, Xiaoyuan, et al.
Published: (2025)

CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
by: Tang, Zhengyang, et al.
Published: (2025)

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code
by: Bao, Keqin, et al.
Published: (2025)

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

MathScale: Scaling Instruction Tuning for Mathematical Reasoning
by: Tang, Zhengyang, et al.
Published: (2024)

Robust Search with Uncertainty-Aware Value Models for Language Model Reasoning
by: Yu, Fei, et al.
Published: (2025)

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
by: Li, Xiaoyuan, et al.
Published: (2025)

Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning
by: Bi, Jiaxi, et al.
Published: (2026)

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
by: Li, Xiaoyuan, et al.
Published: (2026)

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
by: Fang, Yi, et al.
Published: (2026)

Learning from Peers in Reasoning Models
by: Luo, Tongxu, et al.
Published: (2025)

Bridging Formal Language with Chain-of-Thought Reasoning to Geometry Problem Solving
by: Yang, Tianyun, et al.
Published: (2025)

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
by: Yang, An, et al.
Published: (2024)

ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning
by: Li, Xiaoyuan, et al.
Published: (2026)

On Predicting the Post-training Potential of Pre-trained LLMs
by: Li, Xiaoyuan, et al.
Published: (2026)

DataMan: Data Manager for Pre-training Large Language Models
by: Peng, Ru, et al.
Published: (2025)

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

Scaling Flaws of Verifier-Guided Search in Mathematical Reasoning
by: Yu, Fei, et al.
Published: (2025)

SAGE: Scalable Automated Robustness Augmentation for LLM Knowledge Evaluation
by: Li, Xiaoyuan, et al.
Published: (2026)

Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning
by: Cheng, Qianjia, et al.
Published: (2026)

Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time Scaling
by: Zhang, Kai, et al.
Published: (2026)

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

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

Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey
by: Shou, Yuntao, et al.
Published: (2025)

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

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting
by: Wang, Jianing, et al.
Published: (2023)

OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning
by: Yu, Fei, et al.
Published: (2023)

The Missing Piece in Pre-trained Model Evaluation: Reward-Guided Decoding Unlocks Task-Oriented Behavior Without Parameter Updates
by: Wang, Shaobo, et al.
Published: (2026)

Smurfs: Multi-Agent System using Context-Efficient DFSDT for Tool Planning
by: Chen, Junzhi, et al.
Published: (2024)

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

PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator
by: Kong, Chuyi, et al.
Published: (2023)

Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation
by: Li, Ziniu, et al.
Published: (2025)

Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
by: Li, Dongyue, et al.
Published: (2025)