{"list":"other","total":87,"rows":[{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"2106.09685","title":"LoRA: Low-Rank Adaptation of Large Language Models","created":"2021-06-17","cited_by_count":14380},{"id":"2302.13971","title":"LLaMA: Open and Efficient Foundation Language Models","created":"2023-02-27","cited_by_count":14132},{"id":"2107.03374","title":"Evaluating Large Language Models Trained on Code","created":"2021-07-07","cited_by_count":8320},{"id":"2108.07732","title":"Program Synthesis with Large Language Models","created":"2021-08-16","cited_by_count":3637},{"id":"2308.12950","title":"Code Llama: Open Foundation Models for Code","created":"2023-08-24","cited_by_count":2139},{"id":"2210.17323","title":"GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers","created":"2022-10-31","cited_by_count":1919},{"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":"2203.13474","title":"CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis","created":"2022-03-25","cited_by_count":885},{"id":"2103.13630","title":"A Survey of Quantization Methods for Efficient Neural Network Inference","created":"2021-03-25","cited_by_count":815},{"id":"2305.06161","title":"StarCoder: may the source be with you!","created":"2023-05-09","cited_by_count":799},{"id":"2304.06364","title":"AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models","created":"2023-04-13","cited_by_count":716},{"id":"2403.14608","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","created":"2024-03-21","cited_by_count":656},{"id":"2204.05999","title":"InCoder: A Generative Model for Code Infilling and Synthesis","created":"2022-04-12","cited_by_count":498},{"id":"2310.06839","title":"LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression","created":"2023-10-10","cited_by_count":453},{"id":"2308.10620","title":"Large Language Models for Software Engineering: A Systematic Literature Review","created":"2023-08-21","cited_by_count":399},{"id":"2304.08467","title":"Learning to Compress Prompts with Gist Tokens","created":"2023-04-17","cited_by_count":390},{"id":"2305.07922","title":"CodeT5+: Open Code Large Language Models for Code Understanding and Generation","created":"2023-05-13","cited_by_count":333},{"id":"2302.08468","title":"LEVER: Learning to Verify Language-to-Code Generation with Execution","created":"2023-02-16","cited_by_count":239},{"id":"2312.12148","title":"Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment","created":"2023-12-19","cited_by_count":230},{"id":"2302.06527","title":"An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation","created":"2023-02-13","cited_by_count":194},{"id":"2312.05934","title":"Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs","created":"2023-12-10","cited_by_count":178},{"id":"2403.17927","title":"MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution","created":"2024-03-26","cited_by_count":134},{"id":"2305.04764","title":"ChatUniTest: A Framework for LLM-Based Test Generation","created":"2023-05-08","cited_by_count":96},{"id":"2305.04207","title":"No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation","created":"2023-05-07","cited_by_count":82},{"id":"2004.02843","title":"Improved Code Summarization via a Graph Neural Network","created":"2020-04-06","cited_by_count":79},{"id":"2408.06450","title":"Evaluating Language Models for Efficient Code Generation","created":"2024-08-12","cited_by_count":73},{"id":"2304.06815","title":"Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)","created":"2023-04-13","cited_by_count":72},{"id":"2308.11396","title":"Towards an Understanding of Large Language Models in Software Engineering Tasks","created":"2023-08-22","cited_by_count":68},{"id":"2410.12388","title":"Prompt Compression for Large Language Models: A Survey","created":"2024-10-16","cited_by_count":67},{"id":"2311.10372","title":"A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends","created":"2023-11-17","cited_by_count":66},{"id":"2402.02037","title":"EffiBench: Benchmarking the Efficiency of Automatically Generated Code","created":"2024-02-03","cited_by_count":64},{"id":"2311.07989","title":"Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code","created":"2023-11-14","cited_by_count":62},{"id":"2409.09030","title":"Agents in Software Engineering: Survey, Landscape, and Vision","created":"2024-09-13","cited_by_count":60},{"id":"2005.11787","title":"Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers","created":"2020-05-24","cited_by_count":57},{"id":"2409.17066","title":"VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models","created":"2024-09-25","cited_by_count":57},{"id":"2402.18700","title":"Learning to Compress Prompt in Natural Language Formats","created":"2024-02-28","cited_by_count":55},{"id":"2308.01240","title":"Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation","created":"2023-08-02","cited_by_count":50},{"id":"2304.07575","title":"What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?","created":"2023-04-15","cited_by_count":47},{"id":"2408.03094","title":"500xCompressor: Generalized Prompt Compression for Large Language Models","created":"2024-08-06","cited_by_count":47},{"id":"2202.07105","title":"A Survey on Model Compression and Acceleration for Pretrained Language Models","created":"2022-02-15","cited_by_count":45},{"id":"2407.19487","title":"RLCoder: Reinforcement Learning for Repository-Level Code Completion","created":"2024-07-28","cited_by_count":44},{"id":"2408.16498","title":"A Survey on Evaluating Large Language Models in Code Generation Tasks","created":"2024-08-29","cited_by_count":44},{"id":"2310.09748","title":"Large Language Model-Aware In-Context Learning for Code Generation","created":"2023-10-15","cited_by_count":43},{"id":"2308.08758","title":"Discrete Prompt Compression with Reinforcement Learning","created":"2023-08-17","cited_by_count":42},{"id":"2309.05520","title":"When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?","created":"2023-09-11","cited_by_count":42},{"id":"2302.06144","title":"SkCoder: A Sketch-based Approach for Automatic Code Generation","created":"2023-02-13","cited_by_count":40},{"id":"2309.02772","title":"Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models","created":"2023-09-06","cited_by_count":38},{"id":"2411.02530","title":"A Comprehensive Study on Quantization Techniques for Large Language Models","created":"2024-10-30","cited_by_count":36},{"id":"2206.05239","title":"StructCoder: Structure-Aware Transformer for Code Generation","created":"2022-06-10","cited_by_count":34},{"id":"2305.12865","title":"Automatic Code Summarization via ChatGPT: How Far Are We?","created":"2023-05-22","cited_by_count":34},{"id":"2304.07232","title":"Evaluation of ChatGPT Model for Vulnerability Detection","created":"2023-04-12","cited_by_count":33},{"id":"2108.12987","title":"CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees","created":"2021-08-30","cited_by_count":32},{"id":"2308.14731","title":"Distilled GPT for Source Code Summarization","created":"2023-08-28","cited_by_count":31},{"id":"2311.14904","title":"LLM-Assisted Code Cleaning For Training Accurate Code Generators","created":"2023-11-25","cited_by_count":27},{"id":"2312.08901","title":"Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning","created":"2023-12-14","cited_by_count":26},{"id":"2107.01933","title":"CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network","created":"2021-07-05","cited_by_count":22},{"id":"2406.10018","title":"STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis","created":"2024-06-14","cited_by_count":21},{"id":"2407.20042","title":"When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention","created":"2024-07-29","cited_by_count":21},{"id":"2107.05373","title":"On the Evaluation of Commit Message Generation Models: An Experimental Study","created":"2021-07-12","cited_by_count":20},{"id":"2404.08018","title":"Analyzing the Performance of Large Language Models on Code Summarization","created":"2024-04-10","cited_by_count":19},{"id":"2405.15614","title":"Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study","created":"2024-05-24","cited_by_count":17},{"id":"2402.14182","title":"Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization","created":"2024-02-22","cited_by_count":16},{"id":"2407.00456","title":"Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models","created":"2024-06-29","cited_by_count":15},{"id":"2406.05892","title":"Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models","created":"2024-06-09","cited_by_count":14},{"id":"2209.05948","title":"Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems","created":"2022-09-13","cited_by_count":13},{"id":"2311.00272","title":"ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation","created":"2023-11-01","cited_by_count":13},{"id":"2403.16702","title":"ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search","created":"2024-03-25","cited_by_count":12},{"id":"2401.14727","title":"SparseCoder: Identifier-Aware Sparse Transformer for File-Level Code Summarization","created":"2024-01-26","cited_by_count":11},{"id":"2408.05542","title":"You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search","created":"2024-08-10","cited_by_count":11},{"id":"2307.15370","title":"Private-Library-Oriented Code Generation with Large Language Models","created":"2023-07-28","cited_by_count":10},{"id":"2401.08376","title":"KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation","created":"2024-01-16","cited_by_count":10},{"id":"2401.15670","title":"YODA: Teacher-Student Progressive Learning for Language Models","created":"2024-01-28","cited_by_count":10},{"id":"2404.16333","title":"AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation","created":"2024-04-25","cited_by_count":10},{"id":"2208.11271","title":"Tackling Long Code Search with Splitting, Encoding, and Aggregating","created":"2022-08-24","cited_by_count":9},{"id":"1909.10166","title":"Automatic Short Answer Grading via Multiway Attention Networks","created":"2019-09-23","cited_by_count":8},{"id":"2308.13416","title":"SoTaNa: The Open-Source Software Development Assistant","created":"2023-08-25","cited_by_count":8},{"id":"2403.13583","title":"CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing","created":"2024-03-20","cited_by_count":8},{"id":"2408.06037","title":"Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution","created":"2024-08-12","cited_by_count":7},{"id":"2507.00699","title":"A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback","created":"2025-07-01","cited_by_count":7},{"id":"2401.07466","title":"Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection","created":"2024-01-15","cited_by_count":6},{"id":"2311.01150","title":"Revisiting the Knowledge Injection Frameworks","created":"2023-11-02","cited_by_count":5},{"id":"2303.05378","title":"Greener yet Powerful: Taming Large Code Generation Models with Quantization","created":"2023-03-09","cited_by_count":4},{"id":"2408.04939","title":"Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts","created":"2024-08-09","cited_by_count":4},{"id":"2402.01841","title":"COMET: Generating Commit Messages using Delta Graph Context Representation","created":"2024-02-02","cited_by_count":3},{"id":"2401.17622","title":"Commit Messages in the Age of Large Language Models","created":"2024-01-31","cited_by_count":2},{"id":"2406.05940","title":"M2CVD: Enhancing Vulnerability Semantic through Multi-Model Collaboration for Code Vulnerability Detection","created":"2024-06-10","cited_by_count":1}],"next_cursor":null}