code understanding

Code Needs Comments: Enhancing Code LLMs with Comment Augmentation ACL 2024 CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation ACL 2024 HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position ACL 2024 On Improving Repository-Level Code QA for Large Language Models ACL 2024 RealVul: Can We Detect Vulnerabilities in Web Applications with LLM? EMNLP 2024 StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code ACL 2024 Testing the Effect of Code Documentation on Large Language Model Code Understanding NAACL 2024 WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning ACL 2024 XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval ACL 2024 Can Large Language Models Reason about Program Invariants? ICML 2023 CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models AAAI 2023 CodeT5+: Open Code Large Language Models for Code Understanding and Generation EMNLP 2023 InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback NeurIPS 2023 Multi-target Backdoor Attacks for Code Pre-trained Models ACL 2023 Natural Language Annotations for Reasoning about Program Semantics EMNLP 2023 Robust Code Summarization EMNLP 2023 The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code ACL 2023 The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation EMNLP 2023 AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees EMNLP 2022 Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding AAAI 2022 Convergent Representations of Computer Programs in Human and Artificial Neural Networks NeurIPS 2022 Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code IJCAI 2022 Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 EMNLP 2022 Probing Pretrained Models of Source Codes EMNLP 2022 Bridging Code-Text Representation Gap using Explanation ACML 2021