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Code Summarization

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Showing 51–100 of 163 papers

TitleStatusHype
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering—0
Can Large Language Models Understand Intermediate Representations?—0
Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks—0
Analysis of Student-LLM Interaction in a Software Engineering Project—0
Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMs—0
How to Select Pre-Trained Code Models for Reuse? A Learning PerspectiveCode0
Analysis on LLMs Performance for Code Summarization—0
Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property GraphsCode0
On the Compression of Language Models for Code: An Empirical Study on CodeBERT—0
Model Editing for LLMs4Code: How Far are We?Code0
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks—0
ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries—0
Do Current Language Models Support Code Intelligence for R Programming Language?—0
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning—0
Icing on the Cake: Automatic Code Summarization at Ericsson—0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics—0
ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization—0
MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization—0
Large Language Models for Code Summarization—0
On Training a Neural Network to Explain Binaries—0
Calibration of Large Language Models on Code Summarization—0
Analyzing the Performance of Large Language Models on Code SummarizationCode0
CSA-Trans: Code Structure Aware Transformer for ASTCode0
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models—0
Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to RCode0
Read between the lines -- Functionality Extraction From READMEs—0
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization—0
EyeTrans: Merging Human and Machine Attention for Neural Code SummarizationCode0
Studying Vulnerable Code Entities in RCode0
Breaking the Silence: the Threats of Using LLMs in Software EngineeringCode0
Transfer Attacks and Defenses for Large Language Models on Coding Tasks—0
DocGen: Generating Detailed Parameter Docstrings in Python—0
Exploring Large Language Models for Code Explanation—0
Understanding Code Semantics: An Evaluation of Transformer Models in SummarizationCode0
Leveraging Deep Learning for Abstractive Code Summarization of Unofficial Documentation—0
An Assessment of ChatGPT on Log Data—0
Revisiting File Context for Source Code SummarizationCode0
Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion—0
Distilled GPT for Source Code SummarizationCode0
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization—0
Benchmarking Causal Study to Interpret Large Language Models for Source Code—0
Semantic Similarity Loss for Neural Source Code SummarizationCode0
AST-MHSA : Code Summarization using Multi-Head Self-Attention—0
Statement-based Memory for Neural Source Code SummarizationCode0
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review—0
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human SkillsCode0
Automatic Code Summarization via ChatGPT: How Far Are We?—0
Tram: A Token-level Retrieval-augmented Mechanism for Source Code SummarizationCode0
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization—0
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