{"total":54,"rows":[{"id":"2406.15877","title":"BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions","created":"2024-06-22","cited_by_count":546,"area":null},{"id":"2405.06211","title":"A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models","created":"2024-05-10","cited_by_count":452,"area":"rag"},{"id":"2308.10620","title":"Large Language Models for Software Engineering: A Systematic Literature Review","created":"2023-08-21","cited_by_count":399,"area":null},{"id":"2303.12570","title":"RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation","created":"2023-03-22","cited_by_count":367,"area":null},{"id":"2402.19473","title":"Retrieval-Augmented Generation for AI-Generated Content: A Survey","created":"2024-02-29","cited_by_count":354,"area":"rag"},{"id":"2212.09420","title":"Large Language Models Meet NL2Code: A Survey","created":"2022-12-19","cited_by_count":138,"area":null},{"id":"2409.20550","title":"LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation","created":"2024-09-30","cited_by_count":93,"area":null},{"id":"2307.14936","title":"PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback","created":"2023-07-27","cited_by_count":69,"area":null},{"id":"2410.03981","title":"A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages","created":"2024-10-04","cited_by_count":66,"area":null},{"id":"2409.09030","title":"Agents in Software Engineering: Survey, Landscape, and Vision","created":"2024-09-13","cited_by_count":60,"area":"agents"},{"id":"2403.10059","title":"Repoformer: Selective Retrieval for Repository-Level Code Completion","created":"2024-03-15","cited_by_count":55,"area":"rag"},{"id":"2309.13345","title":"BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models","created":"2023-09-23","cited_by_count":53,"area":null},{"id":"2405.15307","title":"Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation","created":"2024-05-24","cited_by_count":50,"area":null},{"id":"2403.16792","title":"Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback","created":"2024-03-25","cited_by_count":46,"area":null},{"id":"2306.10998","title":"RepoFusion: Training Code Models to Understand Your Repository","created":"2023-06-19","cited_by_count":40,"area":null},{"id":"2507.17773","title":"MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation","created":"2025-07-20","cited_by_count":38,"area":null},{"id":"2408.14354","title":"SWE-bench-java: A GitHub Issue Resolving Benchmark for Java","created":"2024-08-26","cited_by_count":34,"area":null},{"id":"2308.16458","title":"BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models","created":"2023-08-31","cited_by_count":25,"area":null},{"id":"2404.19543","title":"RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing","created":"2024-04-30","cited_by_count":25,"area":"rag"},{"id":"2402.12317","title":"EVOR: Evolving Retrieval for Code Generation","created":"2024-02-19","cited_by_count":22,"area":"rag"},{"id":"2306.10763","title":"Guiding Language Models of Code with Global Context using Monitors","created":"2023-06-19","cited_by_count":20,"area":null},{"id":"2504.08725","title":"DocAgent: A Multi-Agent System for Automated Code Documentation Generation","created":"2025-04-11","cited_by_count":18,"area":"agents"},{"id":"2403.05307","title":"Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents","created":"2024-03-08","cited_by_count":17,"area":"agents"},{"id":"2410.14641","title":"Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs","created":"2024-10-18","cited_by_count":16,"area":null},{"id":"2409.13265","title":"Towards LifeSpan Cognitive Systems","created":"2024-09-20","cited_by_count":13,"area":null},{"id":"2412.18573","title":"Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark","created":"2024-12-24","cited_by_count":13,"area":null},{"id":"2406.11925","title":"DocCGen: Document-based Controlled Code Generation","created":"2024-06-17","cited_by_count":11,"area":null},{"id":"2503.13299","title":"A Survey on Transformer Context Extension: Approaches and Evaluation","created":"2025-03-17","cited_by_count":11,"area":null},{"id":"2409.15204","title":"RAMBO: Enhancing RAG-based Repository-Level Method Body Completion","created":"2024-09-23","cited_by_count":10,"area":null},{"id":"2409.15895","title":"Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation","created":"2024-09-24","cited_by_count":10,"area":"rag"},{"id":"2504.08734","title":"Towards an Understanding of Context Utilization in Code Intelligence","created":"2025-04-11","cited_by_count":10,"area":null},{"id":"2404.10155","title":"The Fault in our Stars: Quality Assessment of Code Generation Benchmarks","created":"2024-04-15","cited_by_count":9,"area":null},{"id":"2406.03283","title":"CATCODER: Repository-Level Code Generation with Relevant Code and Type Context","created":"2024-06-05","cited_by_count":8,"area":null},{"id":"2510.18204","title":"RESCUE: Retrieval Augmented Secure Code Generation","created":"2025-10-21","cited_by_count":7,"area":"rag"},{"id":"2508.05970","title":"Impact-driven Context Filtering For Cross-file Code Completion","created":"2025-08-08","cited_by_count":5,"area":"rag"},{"id":"2607.25996","title":"RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models","created":"2026-07-28","cited_by_count":5,"area":"lr"},{"id":"2503.05860","title":"Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality","created":"2025-03-07","cited_by_count":4,"area":null},{"id":"2403.00046","title":"Exploring Data-Efficient Adaptation of Large Language Models for Code Generation","created":"2024-02-29","cited_by_count":3,"area":null},{"id":"2405.04955","title":"Improving Long Text Understanding with Knowledge Distilled from Summarization Model","created":"2024-05-08","cited_by_count":3,"area":null},{"id":"2603.15159","title":"To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation","created":"2026-03-16","cited_by_count":3,"area":null},{"id":"2604.24222","title":"Learning from Execution: Self-Evolving Memory for Private-Library Code Generation","created":"2026-04-27","cited_by_count":2,"area":"rag"},{"id":"2507.15501","title":"ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution","created":"2025-07-21","cited_by_count":1,"area":null},{"id":"2512.00380","title":"Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study","created":"2025-11-29","cited_by_count":1,"area":"synth"},{"id":"2602.20799","title":"Unseen-Codebases-Domain Data Synthesis and Training Based on Code Graphs","created":"2026-02-24","cited_by_count":1,"area":"synth"},{"id":"2306.12601","title":"Resources and Evaluations for Multi-Distribution Dense Information Retrieval","created":"2023-06-21","cited_by_count":0,"area":null},{"id":"2309.11385","title":"Safurai 001: New Qualitative Approach for Code LLM Evaluation","created":"2023-09-20","cited_by_count":0,"area":null},{"id":"2311.03243","title":"Safurai-Csharp: Harnessing Synthetic Data to improve language-specific Code LLM","created":"2023-11-06","cited_by_count":0,"area":"synth"},{"id":"2402.10051","title":"SwissNYF: Tool Grounded LLM Agents for Black Box Setting","created":"2024-02-15","cited_by_count":0,"area":"agents"},{"id":"2411.05547","title":"Assessing the Answerability of Queries in Retrieval-Augmented Code Generation","created":"2024-11-08","cited_by_count":0,"area":"rag"},{"id":"2411.16723","title":"Two Heads Are Better Than One: Collaborative LLM Embodied Agents for Human-Robot Interaction","created":"2024-11-23","cited_by_count":0,"area":"agents"},{"id":"2602.13611","title":"From What to How: Bridging User Requirements with Software Development Using Large Language Models","created":"2026-02-14","cited_by_count":0,"area":null},{"id":"2605.26842","title":"MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training","created":"2026-05-26","cited_by_count":0,"area":"moe"},{"id":"2607.18357","title":"Decode-Time Grammars: Constrained LLM Generation over a Refinement Order of Grammar Fragments","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2609.36730","title":"Can Agents Design Libraries for Agents?","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}