Cover Image

ConceptCoder: Improve Code Reasoning via Concept Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahman, Md Mahbubur, Tong, Hengbo, Le, Wei
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

To Err is Machine: Vulnerability Detection Challenges LLM Reasoning
by: Steenhoek, Benjamin, et al.
Published: (2024)

VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
by: Le, Cuong Chi, et al.
Published: (2024)

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
by: Dou, Shihan, et al.
Published: (2024)

GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model
by: Liu, Wei, et al.
Published: (2024)

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision?
by: Fan, Lishui, et al.
Published: (2026)

PlayCoder: Making LLM-Generated GUI Code Playable
by: Peng, Zhiyuan, et al.
Published: (2026)

XSearch: Explainable Code Search via Concept-to-Code Alignment
by: Liu, Yiming, et al.
Published: (2026)

Towards Causal Deep Learning for Vulnerability Detection
by: Rahman, Md Mahbubur, et al.
Published: (2023)

LLMs in Code Vulnerability Analysis: A Proof of Concept
by: Sultana, Shaznin, et al.
Published: (2026)

SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning
by: Yang, Xueqi, et al.
Published: (2023)

Program Analysis Guided LLM Agent for Proof-of-Concept Generation
by: Desai, Achintya, et al.
Published: (2026)

SynthCoder: A Synthetical Strategy to Tune LLMs for Code Completion
by: Yu, Dongjun, et al.
Published: (2025)

WybeCoder: Verified Imperative Code Generation
by: Gloeckle, Fabian, et al.
Published: (2026)

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
by: He, Minghua, et al.
Published: (2025)

SparseCoder: Identifier-Aware Sparse Transformer for File-Level Code Summarization
by: Wang, Yanlin, et al.
Published: (2024)

Do Automatic Comment Generation Techniques Fall Short? Exploring the Influence of Method Dependencies on Code Understanding
by: Billah, Md Mustakim, et al.
Published: (2025)

SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
by: Ding, Yangruibo, et al.
Published: (2024)

SWE-Shepherd: Advancing PRMs for Reinforcing Code Agents
by: Dihan, Mahir Labib, et al.
Published: (2026)

AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code
by: Zhang, Jianqing, et al.
Published: (2025)

AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation
by: Zhu, Yueheng, et al.
Published: (2025)

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
by: Yu, Hao, et al.
Published: (2023)

CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation
by: Doan, Duy Tung, et al.
Published: (2026)

StructCoder: Structure-Aware Transformer for Code Generation
by: Tipirneni, Sindhu, et al.
Published: (2022)

o1-Coder: an o1 Replication for Coding
by: Zhang, Yuxiang, et al.
Published: (2024)

BabelCoder: Agentic Code Translation with Specification Alignment
by: Rabbi, Fazle, et al.
Published: (2025)

Relative Positioning Based Code Chunking Method For Rich Context Retrieval In Repository Level Code Completion Task With Code Language Model
by: Rahman, Imranur, et al.
Published: (2025)

FastCoder: Accelerating Repository-level Code Generation via Efficient Retrieval and Verification
by: Zhao, Qianhui, et al.
Published: (2025)

DesignCoder: Hierarchy-Aware and Self-Correcting UI Code Generation with Large Language Models
by: Chen, Yunnong, et al.
Published: (2025)

Error Understanding in Program Code With LLM-DL for Multi-label Classification
by: Amin, Md Faizul Ibne, et al.
Published: (2026)

Code Refactoring with LLM: A Comprehensive Evaluation With Few-Shot Settings
by: Tapader, Md. Raihan, et al.
Published: (2025)

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning
by: Tang, Lingxiao, et al.
Published: (2025)

CodeT5-RNN: Reinforcing Contextual Embeddings for Enhanced Code Comprehension
by: Rahman, Md Mostafizer, et al.
Published: (2026)

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
by: Sun, Qiushi, et al.
Published: (2023)

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation
by: Xu, Jingwen, et al.
Published: (2026)

Mining Issue Trackers: Concepts and Techniques
by: Montgomery, Lloyd, et al.
Published: (2024)

MaintainCoder: Maintainable Code Generation Under Dynamic Requirements
by: Wang, Zhengren, et al.
Published: (2025)

FairCoder: Evaluating Social Bias of LLMs in Code Generation
by: Du, Yongkang, et al.
Published: (2025)

Seed-Coder: Let the Code Model Curate Data for Itself
by: Seed, ByteDance, et al.
Published: (2025)

InCoder-32B: Code Foundation Model for Industrial Scenarios
by: Yang, Jian, et al.
Published: (2026)

From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification
by: Erfan, Md, et al.
Published: (2026)