Cover Image

CoRT: Code-integrated Reasoning within Thinking

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 Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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)

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

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

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

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

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

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

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

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

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

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

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
by: Li, Xiaoyuan, 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)

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

Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning
by: Peng, Keqin, et al.
Published: (2026)

An Empirical Study of Reasoning Steps in Thinking Code LLMs
by: Xue, Haoran, et al.
Published: (2025)

CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks
by: Xie, Danning, et al.
Published: (2025)

Efficient Reasoning with Balanced Thinking
by: Li, Yulin, et al.
Published: (2026)

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)

CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images
by: Duan, Chengqi, 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)

Why Transformers Need Adam: A Hessian Perspective
by: Zhang, Yushun, et al.
Published: (2024)

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

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

Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model
by: Cuttano, Claudia, et al.
Published: (2024)

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

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

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models
by: Li, Zongjie, et al.
Published: (2025)

Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning
by: Zhou, Zhaomeng, et al.
Published: (2026)

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
by: Ye, Xinwu, et al.
Published: (2026)

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

LPC-SM: Local Predictive Coding and Sparse Memory for Long-Context Language Modeling
by: Xie, Keqin
Published: (2026)

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
by: Yang, Dayu, et al.
Published: (2025)

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

Data and Codes from: Protocol for defining frequency bands and decoding neural dynamics using hierarchical clustering and multivariate pattern analysis
by: Li, Chengpeng, et al.
Published: (2025)