Cover Image

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Yusheng, Luo, Xiao, Zhang, Weizhi, Ju, Wei, Xiao, Zhiping, Yu, Philip S., Zhang, Ming
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
by: Zhao, Yusheng, et al.
Published: (2025)

Semi-supervised Fine-tuning for Large Language Models
by: Luo, Junyu, et al.
Published: (2024)

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
by: Zhao, Yusheng, et al.
Published: (2025)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges
by: Luo, Junyu, et al.
Published: (2025)

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
by: Luo, Junyu, et al.
Published: (2024)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
by: Li, Yangning, et al.
Published: (2025)

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
by: Luo, Junyu, et al.
Published: (2025)

DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise
by: Zhao, Yusheng, et al.
Published: (2026)

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
by: Gu, Yiyang, et al.
Published: (2026)

TAPO: Task-Referenced Adaptation for Prompt Optimization
by: Luo, Wenxin, et al.
Published: (2025)

Vision-Braille: A Curriculum Learning Toolkit and Braille-Chinese Corpus for Braille Translation
by: Wu, Alan, et al.
Published: (2024)

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
by: Luo, Junyu, et al.
Published: (2025)

MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization
by: Zhang, Weizhi, et al.
Published: (2026)

Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval
by: Luo, Junyu, et al.
Published: (2025)

Embracing Large Language Models in Traffic Flow Forecasting
by: Zhao, Yusheng, et al.
Published: (2024)

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models
by: Zheng, Kangjie, et al.
Published: (2025)

Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
by: Liu, Liping, et al.
Published: (2025)

Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective
by: Mou, Yutao, et al.
Published: (2025)

When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications
by: Liu, Zequn, et al.
Published: (2020)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
by: Zhang, Weizhi, et al.
Published: (2025)

FMC: Formalization of Natural Language Mathematical Competition Problems
by: Xie, Jiaxuan, et al.
Published: (2025)

MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning
by: He, Jie, et al.
Published: (2025)

ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents
by: Liao, Yusheng, et al.
Published: (2024)

Z1: Efficient Test-time Scaling with Code
by: Yu, Zhaojian, et al.
Published: (2025)

ROSD: Reflective On-Policy Self-Distillation for Language Model Reasoning across Domains
by: Zhao, Ziqi, et al.
Published: (2026)

MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection
by: Wang, Bingbing, et al.
Published: (2025)

Self-Enhanced Reasoning Training: Activating Latent Reasoning in Small Models for Enhanced Reasoning Distillation
by: Zhang, Yong, et al.
Published: (2025)

Referencing Where to Focus: Improving VisualGrounding with Referential Query
by: Wang, Yabing, et al.
Published: (2024)

Hallucination Detection via Internal States and Structured Reasoning Consistency in Large Language Models
by: Song, Yusheng, et al.
Published: (2025)

HCR-Reasoner: Synergizing Large Language Models and Theory for Human-like Causal Reasoning
by: Zhang, Yanxi, et al.
Published: (2025)

Improving Cross-lingual Representation for Semantic Retrieval with Code-switching
by: Maimaiti, Mieradilijiang, et al.
Published: (2024)

Zero, Finite, and Infinite Belief History of Theory of Mind Reasoning in Large Language Models
by: Tang, Weizhi, et al.
Published: (2024)

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
by: Huang, Yiming, et al.
Published: (2024)

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
by: Zhang, Zhihan, et al.
Published: (2024)

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation
by: Yu, Zhaojian, et al.
Published: (2024)

Skill-Conditioned Gated Self-Distillation for LLM Reasoning
by: Huang, Jiazhen, et al.
Published: (2026)

ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language Models
by: Tang, Weizhi, et al.
Published: (2024)

Meta-Reinforcement Learning with Self-Reflection for Agentic Search
by: Xiao, Teng, et al.
Published: (2026)

Multidimensional Consistency Improves Reasoning in Language Models
by: Lai, Huiyuan, et al.
Published: (2025)

ARM: Adaptive Reasoning Model
by: Wu, Siye, et al.
Published: (2025)