{"total":13,"rows":[{"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":"2302.06527","title":"An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation","created":"2023-02-13","cited_by_count":194,"area":null},{"id":"2310.01831","title":"Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?","created":"2023-10-03","cited_by_count":57,"area":null},{"id":"2308.12415","title":"Benchmarking Causal Study to Interpret Large Language Models for Source Code","created":"2023-08-23","cited_by_count":14,"area":null},{"id":"2409.08692","title":"B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests","created":"2024-09-13","cited_by_count":9,"area":null},{"id":"2302.04048","title":"Automating Code-Related Tasks Through Transformers: The Impact of Pre-training","created":"2023-02-08","cited_by_count":8,"area":null},{"id":"2310.07856","title":"Assessing Evaluation Metrics for Neural Test Oracle Generation","created":"2023-10-11","cited_by_count":7,"area":null},{"id":"2408.15630","title":"CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation","created":"2024-08-28","cited_by_count":4,"area":null},{"id":"2312.14949","title":"LLM Interactive Optimization of Open Source Python Libraries -- Case Studies and Generalization","created":"2023-12-08","cited_by_count":3,"area":null},{"id":"2602.20610","title":"SpecMind: Cognitively Inspired, Interactive Multi-Turn Framework for Postcondition Inference","created":"2026-02-24","cited_by_count":2,"area":null},{"id":"2308.08943","title":"Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?","created":"2023-08-17","cited_by_count":1,"area":null},{"id":"2601.21070","title":"Towards Comprehensive Benchmarking Infrastructure for LLMs In Software Engineering","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2601.23059","title":"On the Impact of Code Comments for Automated Bug-Fixing: An Empirical Study","created":"2026-01-30","cited_by_count":0,"area":null}],"next_cursor":null}