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Code Summarization

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Showing 76–100 of 163 papers

TitleStatusHype
Studying Vulnerable Code Entities in RCode0
CoDesc: A Large Code-Description Parallel DatasetCode0
Autoencoders as Tools for Program SynthesisCode0
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer TransformersCode0
EyeTrans: Merging Human and Machine Attention for Neural Code SummarizationCode0
Tram: A Token-level Retrieval-augmented Mechanism for Source Code SummarizationCode0
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human SkillsCode0
Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property GraphsCode0
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks—0
Analysis of Student-LLM Interaction in a Software Engineering Project—0
Analysis on LLMs Performance for Code Summarization—0
An Assessment of ChatGPT on Log Data—0
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics—0
An Exploratory Study on Code Attention in BERT—0
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks—0
AST-MHSA : Code Summarization using Multi-Head Self-Attention—0
A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks—0
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization—0
A Survey on Pretrained Language Models for Neural Code Intelligence—0
Automatic Code Summarization via ChatGPT: How Far Are We?—0
Automatic Source Code Summarization via Reinforcement Learning—0
Benchmarking Causal Study to Interpret Large Language Models for Source Code—0
Can Large Language Models Understand Intermediate Representations?—0
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering—0
Code-Craft: Hierarchical Graph-Based Code Summarization for Enhanced Context Retrieval—0
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