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Code Summarization

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Showing 1–50 of 163 papers

TitleStatusHype
Rethinking the effects of data contamination in Code Intelligence—0
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks—0
LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models—0
EVALOOP: Assessing LLM Robustness in Programming from a Self-consistency Perspective—0
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language ModelsCode0
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks—0
Code-Craft: Hierarchical Graph-Based Code Summarization for Enhanced Context Retrieval—0
Enhancing Code LLM Training with Programmer Attention—0
Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization—0
Code Summarization Beyond Function LevelCode1
Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption—0
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 Perspective—0
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
Building A Coding Assistant via the Retrieval-Augmented Language ModelCode1
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
XMainframe: A Large Language Model for Mainframe ModernizationCode2
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
Source Code Summarization in the Era of Large Language ModelsCode1
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-InstructCode1
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
AutoCoder: Enhancing Code Large Language Model with AIEV-InstructCode4
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
A Prompt Learning Framework for Source Code SummarizationCode1
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language ModelsCode1
Breaking the Silence: the Threats of Using LLMs in Software EngineeringCode0
Transfer Attacks and Defenses for Large Language Models on Coding Tasks—0
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