Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study | Paper Citation Record

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This paper cites Software inspec- tions: an effective verification process,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Software inspec- tions: an effective verification process,

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Software inspections and the industrial production of software,

Reference 2

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Modern code review: a case study at google,

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study An empirical study of the impact of modern code review practices on software quality,

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This paper cites Exploring the potential of chatgpt in automated code refinement: An empirical study,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Exploring the potential of chatgpt in automated code refinement: An empirical study,

Reference 5

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This paper cites Code review quality: How developers see it,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Code review quality: How developers see it,

Reference 6

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This paper cites Using pre-trained models to boost code review automa- tion,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Using pre-trained models to boost code review automa- tion,

Reference 7

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Observation 4f4e9197-abeb-4de4-89f1-7c96ef7af275 · outbound

This paper cites Expectations, outcomes, and challenges of modern code review,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Expectations, outcomes, and challenges of modern code review,

Reference 8

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Convergent contemporary software peer review practices,

Reference 9

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This paper cites Learning Performance-Improving Code Edits.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Learning Performance-Improving Code Edits

Reference 10

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This paper cites Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

Reference 11

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This paper cites Codeeditor: Learning to edit source code with pre-trained models,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Codeeditor: Learning to edit source code with pre-trained models,

Reference 12

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This paper cites Llama-reviewer: Advancing code review automation with large language models through parameter- efficient fine-tuning,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Llama-reviewer: Advancing code review automation with large language models through parameter- efficient fine-tuning,

Reference 13

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This paper cites Automating code review activities by large-scale pre-training,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Automating code review activities by large-scale pre-training,

Reference 14

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study An empir- ical study on code comment completion,

Reference 15

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This paper cites Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning,

Reference 16

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This paper cites Automating Code Review Activities by Large-Scale Pre-training.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Automating Code Review Activities by Large-Scale Pre-training

Reference 17

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This paper cites Large Language Models for Software Engineering: A Systematic Literature Review.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Large Language Models for Software Engineering: A Systematic Literature Review

Reference 18

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This paper cites A survey on large language models: Applications, challenges, limitations, and practical usage,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study A survey on large language models: Applications, challenges, limitations, and practical usage,

Reference 19

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This paper cites Breaking the silence: the threats of using llms in software engineering,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Breaking the silence: the threats of using llms in software engineering,

Reference 20

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This paper cites Open-source ai is the path forward,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Open-source ai is the path forward,

Reference 21

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This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 22

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Code Llama: Open Foundation Models for Code

Reference 23

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This paper cites [Online].

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study [Online]

Reference 24

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This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 25

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 26

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Llama by meta - open-source ai models,

Reference 27

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This paper cites Code llama: A large language model for coding,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Code llama: A large language model for coding,

Reference 28

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This paper cites Chatgpt code review - overview,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Chatgpt code review - overview,

Reference 29

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Prompt engineering with llama 2,

Reference 30

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Exact match metric on hugging face,

Reference 31

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Towards automating code review activities,

Reference 32

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Bleu: a method for automatic evaluation of machine translation,

Reference 33

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study On a test of whether one of two random variables is stochastically larger than the other,

Reference 34

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Ollama - ai models made simple,

Reference 35

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Gguf format documentation,

Reference 36

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Prompt engineerin guide,

Reference 37

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Prompt Design and Engineering: Introduction and Advanced Methods

Reference 38

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Introducing meta llama 3: The most capable openly available llm to date,

Reference 39

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Introducing llama 3.1: Advancing open-source large lan- guage models,

Reference 40

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Model cards and prompt formats for llama models,

Reference 41

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Llama 3.1: Model cards and prompt formats,

Reference 42

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This paper cites Lost in translation: A study of bugs introduced by large language models while translating code,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Lost in translation: A study of bugs introduced by large language models while translating code,

Reference 43

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Fine-tuning and prompt engineering for large language models-based code review automation,

Reference 44

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This paper cites Language Models are Few-Shot Learners.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Language Models are Few-Shot Learners

Reference 45

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Finetuned Language Models Are Zero-Shot Learners

Reference 46

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Self-planning code generation with large language models,

Reference 47

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This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Chain-of-thought prompting elicits reasoning in large language models,

Reference 48

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Reference 49

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks

Reference 50

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Structured Chain-of-Thought Prompting for Code Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T23:10:06.590582Z

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This paper cites Auger: automatically generating review comments with pre-training models,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Auger: automatically generating review comments with pre-training models,

Reference 52

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Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Code review automation: strengths and weaknesses of the state of the art,

Reference 53

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This paper cites Autotrans- form: Automated code transformation to support modern code review process,.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Autotrans- form: Automated code transformation to support modern code review process,

Reference 54

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