mlsanityData to 14 Oct 2026

Large Language Models for Code Summarization

arXiv 2405.19032 ↗First posted 29 May 2024cs.AI cs.LG cs.PLcited by 3

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Abstract (arXiv)

Recently, there has been increasing activity in using deep learning for software engineering, including tasks like code generation and summarization. In particular, the most recent coding Large Language Models seem to perform well on these problems. In this technical report, we aim to review how these models perform in code explanation/summarization, while also investigating their code generation capabilities (based on natural language descriptions).

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 16 of its 26 references that are in the map. First posted on arXiv 29 May 2024.

Builds on

16 of 26 references.

References · 16

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021Evaluating Large Language Models Trained on Codecited by 8,320
  3. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,057
  4. 2021Program Synthesis with Large Language Modelscited by 3,637
  5. 2014Sequence to Sequence Learning with Neural Networkscited by 2,986
  6. 2023Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generationcited by 1,391
  7. 2024DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligencecited by 1,181
  8. 2023WizardLM: Empowering large pre-trained language models to follow complex instructionscited by 1,125
  9. 2021Measuring Coding Challenge Competence With APPScited by 902
  10. 2021CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generationcited by 744
  11. 2023WizardCoder: Empowering Code Large Language Models with Evol-Instructcited by 733
  12. 2019CodeSearchNet Challenge: Evaluating the State of Semantic Code Searchcited by 654
4 more
  1. 2022DS-1000: A Natural and Reliable Benchmark for Data Science Code Generationcited by 452
  2. 2023CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-Xcited by 300
  3. 2023OctoPack: Instruction Tuning Code Large Language Modelscited by 189
  4. 2019Automatic Source Code Summarization with Extended Tree-LSTMcited by 28

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

  1. 2025InterpDetect: Interpretable Signals for Detecting Hallucinations in Retrieval-Augmented Generationcited by 1
  2. 2026Precision in Practice: Knowledge Guided Code Summarizing Grounded in Industrial Expectationscited by 0
  3. 2026Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Qualitycited by 0