Awesome code

MentalThink: Shaping Thoughts in Mental SVG World (2026)

Kangheng Lin et al.

2.00

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation (2026)

Jingwen Xu et al.

1.94

FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation (2026)

Zimu Lu et al.

1.94

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models (2026)

Chansung Park et al.

1.94

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? (2026)

Dadi Guo et al.

1.94

PRBench: End-to-end Paper Reproduction in Physics Research (2026)

Shi Qiu et al.

1.94

How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data (2026)

Zixian Huang et al.

1.94

Beyond Retrieval: A Multitask Benchmark and Model for Code Search (2026)

Siqiao Xue et al.

1.94

Code as Agent Harness (2026)

Xuying Ning et al.

1.94

CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test (2026)

Zhangyi Hu et al.

1.94

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery (2026)

Shangheng Du et al.

1.94

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution (2026)

Liliana Hotsko et al.

1.94

DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from Scratch (2026)

Jiale Zhao et al.

1.94

Teaching Language Models to Think in Code (2026)

Hyeon Hwang et al.

1.89

LACUNA: Safe Agents as Recursive Program Holes (2026)

Yaoyu Zhao et al.

1.89

CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation (2026)

Haodong Li et al.

1.78

VectorGym: A Multitask Benchmark for SVG Code Generation, Sketching, and Editing (2026)

Juan Rodriguez et al.

1.78

Generative Visual Code Mobile World Models (2026)

Woosung Koh et al.

1.72

X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests (2026)

Jie Wu et al.

1.67

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence (2025)

Yuliang Liu et al.

1.28

IterPref: Focal Preference Learning for Code Generation via Iterative Debugging (2025)

Jie Wu et al.

1.28

SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion (2025)

Ahmed Nassar et al.

1.28

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks (2025)

Hongyuan Tao et al.

1.28

GitChameleon: Evaluating AI Code Generation Against Python Library Version Incompatibilities (2025)

Diganta Misra et al.

1.28

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution (2025)

Han Li et al.

1.28

Multi-Agent Game Generation and Evaluation via Audio-Visual Recordings (2025)

Alexia Jolicoeur-Martineau

1.28

SR-Scientist: Scientific Equation Discovery With Agentic AI (2025)

Shijie Xia et al.

1.28

On Pretraining for Project-Level Code Completion (2025)

Maksim Sapronov et al.

1.28

From Charts to Code: A Hierarchical Benchmark for Multimodal Models (2025)

Jiahao Tang et al.

1.28

A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space (2025)

Huijie Liu et al.

1.28

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence (2025)

Jian Yang et al.

1.28

Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning (2025)

Ming Chen et al.

1.28

Automated Code generation for Information Technology Tasks in YAML through Large Language Models (2023)

Saurabh Pujar et al.

—

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM (2023)

Nghi D. Q. Bui et al.

—

ChatGPT for Robotics: Design Principles and Model Abilities (2023)

Sai Vemprala et al.

—

OctoPack: Instruction Tuning Code Large Language Models (2023)

Niklas Muennighoff et al.

—

Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification (2023)

Aojun Zhou et al.

—

LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models (2023)

Zecheng Tang et al.

—

Large Language Models as Analogical Reasoners (2023)

Michihiro Yasunaga et al.

—

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence (2024)

Daya Guo et al.

—

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback (2024)

Shihan Dou et al.

—

StarCoder 2 and The Stack v2: The Next Generation (2024)

Anton Lozhkov et al.

—

Long Code Arena: a Set of Benchmarks for Long-Context Code Models (2024)

Egor Bogomolov et al.

—

Measuring memorization in RLHF for code completion (2024)

Aneesh Pappu et al.

—

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models (2024)

Guanting Dong et al.

—

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting (2024)

Liyao Jiang et al.

—

HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale (2024)

Huy Nhat Phan et al.

—

Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code (2024)

Hyungjoo Chae et al.

—

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs (2024)

Dung Nguyen Manh et al.

—

Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders (2024)

David Noever et al.

—

Seeker: Enhancing Exception Handling in Code with LLM-based Multi-Agent Approach (2024)

Xuanming Zhang et al.

—

CursorCore: Assist Programming through Aligning Anything (2024)

Hao Jiang et al.

—

Agent-as-a-Judge: Evaluate Agents with Agents (2024)

Mingchen Zhuge et al.

—

If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs (2024)

Muhammad Khalifa et al.

—

CAD-Recode: Reverse Engineering CAD Code from Point Clouds (2024)

Danila Rukhovich et al.

—

Awesome code

Datasets & benchmarks

Key papers

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Awesome code

Datasets & benchmarks

Key papers