{"list":"other","total":62,"rows":[{"id":"1807.03748","title":"Representation Learning with Contrastive Predictive Coding","created":"2018-07-10","cited_by_count":7777},{"id":"2308.12950","title":"Code Llama: Open Foundation Models for Code","created":"2023-08-24","cited_by_count":2139},{"id":"2002.08155","title":"CodeBERT: A Pre-Trained Model for Programming and Natural Languages","created":"2020-02-19","cited_by_count":1310},{"id":"2409.12186","title":"Qwen2.5-Coder Technical Report","created":"2024-09-18","cited_by_count":1203},{"id":"2401.14196","title":"DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence","created":"2024-01-25","cited_by_count":1181},{"id":"2004.09297","title":"MPNet: Masked and Permuted Pre-training for Language Understanding","created":"2020-04-20","cited_by_count":981},{"id":"2109.00859","title":"CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation","created":"2021-09-02","cited_by_count":906},{"id":"2305.06161","title":"StarCoder: may the source be with you!","created":"2023-05-09","cited_by_count":799},{"id":"1909.09436","title":"CodeSearchNet Challenge: Evaluating the State of Semantic Code Search","created":"2019-09-20","cited_by_count":654},{"id":"2303.12570","title":"RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation","created":"2023-03-22","cited_by_count":367},{"id":"2203.03850","title":"UniXcoder: Unified Cross-Modal Pre-training for Code Representation","created":"2022-03-08","cited_by_count":361},{"id":"2305.07922","title":"CodeT5+: Open Code Large Language Models for Code Understanding and Generation","created":"2023-05-13","cited_by_count":333},{"id":"2004.06100","title":"Pretrained Transformers Improve Out-of-Distribution Robustness","created":"2020-04-13","cited_by_count":294},{"id":"2006.03511","title":"Unsupervised Translation of Programming Languages","created":"2020-06-05","cited_by_count":263},{"id":"2302.08468","title":"LEVER: Learning to Verify Language-to-Code Generation with Execution","created":"2023-02-16","cited_by_count":239},{"id":"2005.00653","title":"A Transformer-based Approach for Source Code Summarization","created":"2020-05-01","cited_by_count":133},{"id":"1802.03691","title":"Tree-to-tree Neural Networks for Program Translation","created":"2018-02-11","cited_by_count":93},{"id":"1807.06756","title":"SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities","created":"2018-07-18","cited_by_count":92},{"id":"2110.06773","title":"Leveraging Automated Unit Tests for Unsupervised Code Translation","created":"2021-10-13","cited_by_count":82},{"id":"2106.06600","title":"Break-It-Fix-It: Unsupervised Learning for Program Repair","created":"2021-06-11","cited_by_count":71},{"id":"2205.10583","title":"Automated Repair of Programs from Large Language Models","created":"2022-05-21","cited_by_count":71},{"id":"2108.04556","title":"SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation","created":"2021-08-10","cited_by_count":63},{"id":"2201.06850","title":"Using Pre-Trained Models to Boost Code Review Automation","created":"2022-01-18","cited_by_count":63},{"id":"2212.08109","title":"An Empirical Study of Deep Learning Models for Vulnerability Detection","created":"2022-12-15","cited_by_count":46},{"id":"2309.17272","title":"Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency","created":"2023-09-29","cited_by_count":46},{"id":"2207.03578","title":"Code Translation with Compiler Representations","created":"2022-06-30","cited_by_count":42},{"id":"2406.07003","title":"GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model","created":"2024-06-11","cited_by_count":40},{"id":"2401.16467","title":"ReGAL: Refactoring Programs to Discover Generalizable Abstractions","created":"2024-01-29","cited_by_count":36},{"id":"2402.02172","title":"CodeAgent: Autonomous Communicative Agents for Code Review","created":"2024-02-03","cited_by_count":34},{"id":"2206.03865","title":"Fault-Aware Neural Code Rankers","created":"2022-06-04","cited_by_count":33},{"id":"2308.14731","title":"Distilled GPT for Source Code Summarization","created":"2023-08-28","cited_by_count":31},{"id":"2406.08316","title":"Is Programming by Example solved by LLMs?","created":"2024-06-12","cited_by_count":27},{"id":"2208.08014","title":"AUGER: Automatically Generating Review Comments with Pre-training Models","created":"2022-08-17","cited_by_count":23},{"id":"2011.02297","title":"Opportunities and Challenges in Code Search Tools","created":"2020-11-04","cited_by_count":22},{"id":"2204.03293","title":"CoCoSoDa: Effective Contrastive Learning for Code Search","created":"2022-04-07","cited_by_count":22},{"id":"2306.01394","title":"Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors","created":"2023-06-02","cited_by_count":22},{"id":"2201.10866","title":"CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search","created":"2022-01-26","cited_by_count":21},{"id":"2410.20527","title":"CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming","created":"2024-10-27","cited_by_count":19},{"id":"1703.01443","title":"Query Expansion Based on Crowd Knowledge for Code Search","created":"2017-03-04","cited_by_count":18},{"id":"1809.03857","title":"EXS: Explainable Search Using Local Model Agnostic Interpretability","created":"2018-09-11","cited_by_count":18},{"id":"2204.02765","title":"Code Search: A Survey of Techniques for Finding Code","created":"2022-04-06","cited_by_count":18},{"id":"2105.14242","title":"CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model","created":"2021-05-29","cited_by_count":16},{"id":"2308.07655","title":"From Commit Message Generation to History-Aware Commit Message Completion","created":"2023-08-15","cited_by_count":16},{"id":"2010.01544","title":"Review4Repair: Code Review Aided Automatic Program Repairing","created":"2020-10-04","cited_by_count":13},{"id":"2406.17255","title":"MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning","created":"2024-06-25","cited_by_count":12},{"id":"1511.08497","title":"SWIM: Synthesizing What I Mean","created":"2015-11-26","cited_by_count":10},{"id":"2203.15287","title":"Accelerating Code Search with Deep Hashing and Code Classification","created":"2022-03-29","cited_by_count":10},{"id":"2310.11476","title":"Program Translation via Code Distillation","created":"2023-10-17","cited_by_count":10},{"id":"2404.14824","title":"Automated Commit Message Generation with Large Language Models: An Empirical Study and Beyond","created":"2024-04-23","cited_by_count":10},{"id":"2210.12285","title":"Exploring Representation-Level Augmentation for Code Search","created":"2022-10-21","cited_by_count":8},{"id":"2406.14836","title":"Identifying Inaccurate Descriptions in LLM-generated Code Comments via Test Execution","created":"2024-06-21","cited_by_count":8},{"id":"2401.07870","title":"JumpCoder: Go Beyond Autoregressive Coder via Online Modification","created":"2024-01-15","cited_by_count":7},{"id":"2410.22240","title":"Are Decoder-Only Large Language Models the Silver Bullet for Code Search?","created":"2024-10-29","cited_by_count":7},{"id":"2408.15411","title":"AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM","created":"2024-08-27","cited_by_count":5},{"id":"2508.00546","title":"SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval","created":"2025-08-01","cited_by_count":5},{"id":"2409.03267","title":"No Man is an Island: Towards Fully Automatic Programming by Code Search, Code Generation and Program Repair","created":"2024-09-05","cited_by_count":4},{"id":"2305.03843","title":"REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models","created":"2023-05-05","cited_by_count":3},{"id":"2308.15234","title":"Hyperbolic Code Retrieval: A Novel Approach for Efficient Code Search Using Hyperbolic Space Embeddings","created":"2023-08-29","cited_by_count":3},{"id":"2501.09861","title":"Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message","created":"2025-01-16","cited_by_count":2},{"id":"2507.20619","title":"Generating Project-Specific Test Cases with Requirement Validation Intention","created":"2025-07-28","cited_by_count":2},{"id":"2602.13723","title":"Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective","created":"2026-02-14","cited_by_count":1},{"id":"2604.21771","title":"Generalizing Test Cases for Comprehensive Test Scenario Coverage","created":"2026-04-23","cited_by_count":1}],"next_cursor":null}