deploy: 78c0ef3

Author: mallamanis

paper-abstracts.json

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-[["xu2022systematic", "A Systematic Evaluation of Large Language Models of Code"], ["shrivastava2023repofusion", "RepoFusion: Training Code Models to Understand Your Repository"], ["ding2023static", "A Static Evaluation of Code Completion by Large Language Models"], ["svyatkovskiy2020fast", "Fast and Memory-Efficient Neural Code Completion"]]
+[["xu2022systematic", "A Systematic Evaluation of Large Language Models of Code"], ["shrivastava2023repofusion", "RepoFusion: Training Code Models to Understand Your Repository"], ["ding2023static", "A Static Evaluation of Code Completion by Large Language Models"], ["li2023hitchhiker", "The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models"]]

papers.html

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-[["wang2020cocogum", "CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs"], ["haque2020improved", "Improved Automatic Summarization of Subroutines via Attention to File Context"], ["ye2020leveraging", "Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning"], ["fernandes2019structured", "Structured Neural Summarization"]]
+[["wang2020cocogum", "CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs"], ["haque2020improved", "Improved Automatic Summarization of Subroutines via Attention to File Context"], ["ye2020leveraging", "Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning"], ["shido2019automatic", "Automatic Source Code Summarization with Extended Tree-LSTM"]]

publications-metadata/agrawal2023monitor.json

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-[["garg2022deepperf", "DeepPERF: A Deep Learning-Based Approach For Improving Software Performance"], ["wang2023codet5", "CodeT5+: Open Code Large Language Models for Code Understanding and Generation"], ["gupta2023grace", "Grace: Language Models Meet Code Edits"], ["ahmed2033improving", "Improving Few-Shot Prompts with Relevant Static Analysis Products"]]
+[["garg2022deepperf", "DeepPERF: A Deep Learning-Based Approach For Improving Software Performance"], ["guo2024deepseek", "DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence"], ["wang2023codet5", "CodeT5+: Open Code Large Language Models for Code Understanding and Generation"], ["gupta2023grace", "Grace: Language Models Meet Code Edits"]]

publications-metadata/ahmad2020transformer.json

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-[["mir2021type4py", "Type4Py: Deep Similarity Learning-Based Type Inference for Python"], ["malik2019nl2type", "NL2Type: Inferring JavaScript Function Types from Natural Language Information"], ["wei2020lambdanet", "LambdaNet: Probabilistic Type Inference using Graph Neural Networks"], ["jesse2022learning", "Learning To Predict User-Defined Types"]]
+[["mir2021type4py", "Type4Py: Deep Similarity Learning-Based Type Inference for Python"], ["wei2020lambdanet", "LambdaNet: Probabilistic Type Inference using Graph Neural Networks"], ["malik2019nl2type", "NL2Type: Inferring JavaScript Function Types from Natural Language Information"], ["jesse2022learning", "Learning To Predict User-Defined Types"]]

publications-metadata/ahmed2024studying.json

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-[["alon2018code2seq", "code2seq: Generating Sequences from Structured Representations of Code"], ["nguyen2020suggesting", "Suggesting Natural Method Names to Check Name Consistencies"], ["allamanis2015suggesting", "Suggesting Accurate Method and Class Names"], ["gu2018deep", "Deep Code Search"]]
+[["nguyen2020suggesting", "Suggesting Natural Method Names to Check Name Consistencies"], ["alon2018code2seq", "code2seq: Generating Sequences from Structured Representations of Code"], ["allamanis2015suggesting", "Suggesting Accurate Method and Class Names"], ["gu2018deep", "Deep Code Search"]]

publications-metadata/allamanis2020typilus.json

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-[["nijkamp2023codegen2", "CodeGen2: Lessons for Training LLMs on Programming and Natural Languages"], ["fried2022incoder", "InCoder: A Generative Model for Code Infilling and Synthesis"], ["li2022exploring", "Exploring Representation-Level Augmentation for Code Search"], ["deze2022bridging", "Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding"]]
+[["nijkamp2023codegen2", "CodeGen2: Lessons for Training LLMs on Programming and Natural Languages"], ["fried2022incoder", "InCoder: A Generative Model for Code Infilling and Synthesis"], ["li2022exploring", "Exploring Representation-Level Augmentation for Code Search"], ["guo2024deepseek", "DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence"]]

publications-metadata/alon2019code2vec.json

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-[["karampatsis2020scelmo", "SCELMo: Source Code Embeddings from Language Models"], ["bui2018hierarchical", "Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code"], ["peng2021how", "How could Neural Networks understand Programs?"], ["cummins2020programl", "ProGraML: Graph-based Deep Learning for Program Optimization and Analysis"]]
+[["karampatsis2020scelmo", "SCELMo: Source Code Embeddings from Language Models"], ["bui2018hierarchical", "Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code"], ["peng2021how", "How could Neural Networks understand Programs?"], ["chen2019literature", "A Literature Study of Embeddings on Source Code"]]

publications-metadata/bavarian2022efficient.json

@@ -1 +1 @@
-[["gupta2017deepfix", "DeepFix: Fixing Common C Language Errors by Deep Learning"], ["hong2021fix", "Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing"], ["santos2018syntax", "Syntax and Sensibility: Using language models to detect and correct syntax errors"], ["dinella2020hoppity", "Hoppity: Learning Bug Detection and Repair"]]
+[["berabi2024deepcode", "DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models"], ["gupta2017deepfix", "DeepFix: Fixing Common C Language Errors by Deep Learning"], ["hong2021fix", "Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing"], ["santos2018syntax", "Syntax and Sensibility: Using language models to detect and correct syntax errors"]]