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Code Summarization

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Showing 51–75 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
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