Code LLMs: A Taxonomy-based Survey | Paper Citation Record

Observation abd2dd17-3a3c-44a2-834d-076b13b611c9 · outbound

This paper cites Improving language understanding by generative pre-training,.

Code LLMs: A Taxonomy-based Survey Improving language understanding by generative pre-training,

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Observation 236b3fad-8c3c-4726-8f78-3ea69b7772d2 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages,.

Code LLMs: A Taxonomy-based Survey Codebert: A pre-trained model for programming and natural languages,

Reference 2

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This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

Code LLMs: A Taxonomy-based Survey GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 3

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Code LLMs: A Taxonomy-based Survey BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

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This paper cites ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.

Code LLMs: A Taxonomy-based Survey ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Reference 5

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Code LLMs: A Taxonomy-based Survey Language models are unsupervised multitask learners,

Reference 6

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Code LLMs: A Taxonomy-based Survey Language models are few-shot learners,

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This paper cites The Falcon Series of Open Language Models.

Code LLMs: A Taxonomy-based Survey The Falcon Series of Open Language Models

Reference 8

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

Code LLMs: A Taxonomy-based Survey LLaMA: Open and Efficient Foundation Language Models

Reference 9

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This paper cites Roformer: Enhanced transformer with rotary position embedding,.

Code LLMs: A Taxonomy-based Survey Roformer: Enhanced transformer with rotary position embedding,

Reference 10

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This paper cites Claude technical report,.

Code LLMs: A Taxonomy-based Survey Claude technical report,

Reference 12

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This paper cites Wikipedia corpus,.

Code LLMs: A Taxonomy-based Survey Wikipedia corpus,

Reference 13

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Code LLMs: A Taxonomy-based Survey Common crawl corpus,

Reference 14

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This paper cites Large Language Models in Computer Science Education: A Systematic Literature Review.

Code LLMs: A Taxonomy-based Survey Large Language Models in Computer Science Education: A Systematic Literature Review

Reference 15

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This paper cites Attention is all you need,.

Code LLMs: A Taxonomy-based Survey Attention is all you need,

Reference 16

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Observation 892585d1-c75e-4dce-b7e4-d6d319218fdb · outbound

This paper cites On the use of automated text summarization techniques for summarizing source code,.

Code LLMs: A Taxonomy-based Survey On the use of automated text summarization techniques for summarizing source code,

Reference 17

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This paper cites Exemplar: A source code search engine for finding highly relevant applications,.

Code LLMs: A Taxonomy-based Survey Exemplar: A source code search engine for finding highly relevant applications,

Reference 18

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This paper cites Using information retrieval based coupling measures for impact analysis,.

Code LLMs: A Taxonomy-based Survey Using information retrieval based coupling measures for impact analysis,

Reference 19

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This paper cites Normalizing source code vocabulary,.

Code LLMs: A Taxonomy-based Survey Normalizing source code vocabulary,

Reference 20

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This paper cites Linsen: An efficient approach to split identifiers and expand abbreviations,.

Code LLMs: A Taxonomy-based Survey Linsen: An efficient approach to split identifiers and expand abbreviations,

Reference 21

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Observation c8ce1bb1-18b1-4960-932a-076631902b17 · outbound

This paper cites Expanding identifiers to normalize source code vocabulary,.

Code LLMs: A Taxonomy-based Survey Expanding identifiers to normalize source code vocabulary,

Reference 22

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Observation d3b1358c-e0fb-4840-9f05-43c23c4b1130 · outbound

This paper cites Fowler, Refactoring: Improving the Design of Existing Code.

Code LLMs: A Taxonomy-based Survey Fowler, Refactoring: Improving the Design of Existing Code

Reference 23

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This paper cites Detection strategies: Metrics-based rules for detecting design flaws,.

Code LLMs: A Taxonomy-based Survey Detection strategies: Metrics-based rules for detecting design flaws,

Reference 24

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This paper cites GPT-4 Technical Report.

Code LLMs: A Taxonomy-based Survey GPT-4 Technical Report

Reference 25

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This paper cites Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,.

Code LLMs: A Taxonomy-based Survey Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,

Reference 26

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This paper cites Code Llama: Open Foundation Models for Code.

Code LLMs: A Taxonomy-based Survey Code Llama: Open Foundation Models for Code

Reference 27

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This paper cites Ernie: Enhanced language representation with informative entities,.

Code LLMs: A Taxonomy-based Survey Ernie: Enhanced language representation with informative entities,

Reference 28

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This paper cites A robustly optimized bert pre- training approach with post-training,.

Code LLMs: A Taxonomy-based Survey A robustly optimized bert pre- training approach with post-training,

Reference 29

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This paper cites Learning and evaluating contextual embedding of source code,.

Code LLMs: A Taxonomy-based Survey Learning and evaluating contextual embedding of source code,

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This paper cites Treebert: A tree- based pre-trained model for programming language,.

Code LLMs: A Taxonomy-based Survey Treebert: A tree- based pre-trained model for programming language,

Reference 31

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This paper cites SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation.

Code LLMs: A Taxonomy-based Survey SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

Reference 32

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This paper cites Code-mvp: Learning to represent source code from multiple views with contrastive pre-training,.

Code LLMs: A Taxonomy-based Survey Code-mvp: Learning to represent source code from multiple views with contrastive pre-training,

Reference 33

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This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

Code LLMs: A Taxonomy-based Survey CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 34

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This paper cites Summarizing source code using a neural attention model,.

Code LLMs: A Taxonomy-based Survey Summarizing source code using a neural attention model,

Reference 35

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This paper cites Python 150k: A large-scale dataset for python programs,.

Code LLMs: A Taxonomy-based Survey Python 150k: A large-scale dataset for python programs,

Reference 36

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Code LLMs: A Taxonomy-based Survey Cosqa: 20,000+ web queries for code search and question answering,

Reference 37

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Code LLMs: A Taxonomy-based Survey Towards a big data curated benchmark of inter-project code clones,

Reference 38

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This paper cites Global relational models of source code,.

Code LLMs: A Taxonomy-based Survey Global relational models of source code,

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Code LLMs: A Taxonomy-based Survey Scalpel: The Python Static Analysis Framework

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Code LLMs: A Taxonomy-based Survey Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 41

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Code LLMs: A Taxonomy-based Survey Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and compre- hension,

Reference 42

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Code LLMs: A Taxonomy-based Survey Pymt5: multi-mode translation of natural language and python code with transformers,

Reference 43

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Code LLMs: A Taxonomy-based Survey CodeT5+: Open Code Large Language Models for Code Understanding and Generation

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Code LLMs: A Taxonomy-based Survey Spt-code: Sequence- to-sequence pre-training for learning source code representations,

Reference 45

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Code LLMs: A Taxonomy-based Survey Competition-level code generation with alphacode,

Reference 46

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Code LLMs: A Taxonomy-based Survey Unified pre- training for program understanding and generation,

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Code LLMs: A Taxonomy-based Survey Gpt-neox-20b: An open- source autoregressive language model,

Reference 48

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This paper cites Existence of spiky stationary solutions to a mass-conserved reaction-diffusion model.

Code LLMs: A Taxonomy-based Survey Existence of spiky stationary solutions to a mass-conserved reaction-diffusion model

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Code LLMs: A Taxonomy-based Survey Program Synthesis with Large Language Models

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Code LLMs: A Taxonomy-based Survey Introducing the next generation of Claude,

Reference 51

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This paper cites Entanglement Routing in Quantum Networks: A Comprehensive Survey.

Code LLMs: A Taxonomy-based Survey Entanglement Routing in Quantum Networks: A Comprehensive Survey

Reference 52

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Code LLMs: A Taxonomy-based Survey The Llama 3 Herd of Models

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Code LLMs: A Taxonomy-based Survey WizardCoder: Empowering Code Large Language Models with Evol-Instruct

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Code LLMs: A Taxonomy-based Survey Nemotron-4 340B Technical Report

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Code LLMs: A Taxonomy-based Survey Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Reference 58

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Code LLMs: A Taxonomy-based Survey Magicoder: Empowering Code Generation with OSS-Instruct

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Code LLMs: A Taxonomy-based Survey phind-codellama,

Reference 60

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Code LLMs: A Taxonomy-based Survey Gemini: A Family of Highly Capable Multimodal Models

Reference 61

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This paper cites Textbooks Are All You Need.

Code LLMs: A Taxonomy-based Survey Textbooks Are All You Need

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Code LLMs: A Taxonomy-based Survey Textbooks Are All You Need II: phi-1.5 technical report

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Code LLMs: A Taxonomy-based Survey StarCoder 2 and The Stack v2: The Next Generation

Reference 64

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This paper cites PaLM 2 Technical Report.

Code LLMs: A Taxonomy-based Survey PaLM 2 Technical Report

Reference 65

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Observation 8ed03555-15a2-4305-a205-d863cc5dfd4f · outbound

This paper cites StarCoder: may the source be with you!.

Code LLMs: A Taxonomy-based Survey StarCoder: may the source be with you!

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.019337Z

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Observation 7ea35fc9-6202-46c8-a1f4-0c18ef62edb6 · outbound

This paper cites Mistral 7B.

Code LLMs: A Taxonomy-based Survey Mistral 7B

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.025185Z

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Observation 75a1c0da-66a2-42cd-8503-ba7f7a25b365 · outbound

This paper cites SantaCoder: don't reach for the stars!.

Code LLMs: A Taxonomy-based Survey SantaCoder: don't reach for the stars!

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.030230Z

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Observation fda6f2a9-9dac-47cd-a27a-c9c3b10c2138 · outbound

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

Code LLMs: A Taxonomy-based Survey Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 69

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Observation a002d4b4-e3e2-42fa-9f44-4b43efea057d · outbound

This paper cites Training Compute-Optimal Large Language Models.

Code LLMs: A Taxonomy-based Survey Training Compute-Optimal Large Language Models

Reference 70

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Observation 3c772ee3-daa5-4d41-b050-962ab4c3a579 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Code LLMs: A Taxonomy-based Survey RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.046753Z

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Observation 590982fb-eb64-4900-9b0d-561159283783 · outbound

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Code LLMs: A Taxonomy-based Survey Self-Attention with Relative Position Representations

Reference 72

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Observation 5b688769-cc4a-47de-a5dc-418b9f6270d4 · outbound

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Code LLMs: A Taxonomy-based Survey Mixtral of Experts

Reference 73

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Observation 2b106ca9-166c-4b7c-a306-3f03d989ac17 · outbound

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Code LLMs: A Taxonomy-based Survey Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models

Reference 74

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Observation d0710b0d-b43b-46d4-b884-20da87046b5e · outbound

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Code LLMs: A Taxonomy-based Survey O’Reilly Media, Inc

Reference 75

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Observation a6d6c352-021a-4047-91c6-61330c149223 · outbound

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Code LLMs: A Taxonomy-based Survey GLU Variants Improve Transformer

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.075052Z

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Observation adf48453-d4ab-4c86-9ef5-42d347cf45bc · outbound

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Code LLMs: A Taxonomy-based Survey Searching for Activation Functions

Reference 77

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Code LLMs: A Taxonomy-based Survey Language modeling with gated convolutional networks,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:03:58.385433Z

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Observation 4c4dda27-6767-4592-b65a-fe822de6ddb6 · outbound

This paper cites Rectified linear units improve restricted boltzmann machines,.

Code LLMs: A Taxonomy-based Survey Rectified linear units improve restricted boltzmann machines,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:03:58.368693Z

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Observation afbf8f92-efb5-4b46-8235-b7a25123c5bb · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Code LLMs: A Taxonomy-based Survey LoRA: Low-Rank Adaptation of Large Language Models

Reference 80

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Observation 0b2e66a1-0d64-485a-a96c-e7cd693fbfca · outbound

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Code LLMs: A Taxonomy-based Survey QLoRA: Efficient Finetuning of Quantized LLMs

Reference 81

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Observation 8279f2b7-ce56-40fe-88fe-c5f64621ef15 · outbound

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Code LLMs: A Taxonomy-based Survey WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.105396Z

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Observation 6486f7e6-033e-4586-a03b-e856a60f0725 · outbound

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Code LLMs: A Taxonomy-based Survey OctoPack: Instruction Tuning Code Large Language Models

Reference 83

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Observation 89873307-f394-406d-aece-51c564ae9f26 · outbound

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Code LLMs: A Taxonomy-based Survey Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.115098Z

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Observation 4d7af0a0-0e48-4e83-bb3e-c90b78cc0db7 · outbound

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Code LLMs: A Taxonomy-based Survey Gemma: Open models based on gemini research and technol- ogy,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:03:58.351073Z

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Observation 64b03f76-ff7d-4389-b747-a2eed74b1546 · outbound

This paper cites MojoBench: Language Modeling and Benchmarks for Mojo.

Code LLMs: A Taxonomy-based Survey MojoBench: Language Modeling and Benchmarks for Mojo

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.124185Z

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Observation 470b9f8e-c59d-43e1-97c2-b8e059f7e0b5 · outbound

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Code LLMs: A Taxonomy-based Survey Evaluating Large Language Models Trained on Code

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.129123Z

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Observation 9540c42d-030f-4e93-8b35-6ea0e8777553 · outbound

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Code LLMs: A Taxonomy-based Survey HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.135276Z

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Observation 490b0b5f-ac71-49bf-9f23-c1957230a739 · outbound

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Code LLMs: A Taxonomy-based Survey mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code Generation

Reference 89

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Code LLMs: A Taxonomy-based Survey MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.147196Z

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Observation bd79d8be-57f3-4c91-b2bc-3e0d2a843503 · outbound

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Code LLMs: A Taxonomy-based Survey Ds-1000: A natural and reliable benchmark for data science code generation,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:03:58.334823Z

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Observation 482b05a9-1c3c-42ea-9c9f-0bf1f4d407d6 · outbound

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Code LLMs: A Taxonomy-based Survey Cseprompts: A benchmark of introductory computer science prompts,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:03:58.318439Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e399c2e5-9a49-4014-bfd1-b33f200e8b28 · outbound

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Code LLMs: A Taxonomy-based Survey On the performance of large language models on introductory programming assignments,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:03:58.302730Z

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Observation 6966666a-3bf1-44fb-834d-6d06a7829fdf · outbound

This paper cites Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.

Code LLMs: A Taxonomy-based Survey Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey

Reference 94

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Observation c29116bd-d715-461e-bc48-61ca2bbfff9a · outbound

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Code LLMs: A Taxonomy-based Survey Holistic Evaluation of Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.173433Z

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Unavailable: canonical work link unavailable.

Observation ddea4f29-51ee-43bf-b3ac-54b621e21989 · outbound

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Code LLMs: A Taxonomy-based Survey CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.178464Z

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Observation 273fdda7-9a53-4cc2-a2a6-c7ce36d5c4d3 · outbound

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Code LLMs: A Taxonomy-based Survey A Watermark for Large Language Models

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.183563Z

Source-reported events for the cited work

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Observation 56606d63-a804-4627-b5da-5b5de451f256 · outbound

This paper cites Josephson effect in graphene bilayers with adjustable relative displacement.

Code LLMs: A Taxonomy-based Survey Josephson effect in graphene bilayers with adjustable relative displacement

Reference 98

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Observation 061d4f1e-0792-48a0-b5fd-c14f0d4a188e · outbound

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Code LLMs: A Taxonomy-based Survey Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.193810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d65c2dd3-4745-47c4-82e9-40ec7646e4ad · outbound

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Code LLMs: A Taxonomy-based Survey Quantum walk approach to simulating parton showers

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.199280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ccee093-9a8c-43c9-b1f4-d6afe8dd20c2 · outbound

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Code LLMs: A Taxonomy-based Survey The Stack: 3 TB of permissively licensed source code

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.204260Z

Source-reported events for the cited work

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Observation cb2c1a36-5c13-4f25-b7b1-5972f0b96756 · outbound

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Code LLMs: A Taxonomy-based Survey BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.209381Z

Source-reported events for the cited work

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Observation cba4f618-06c3-4cae-b858-19446545d157 · outbound

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Code LLMs: A Taxonomy-based Survey Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:57.214846Z

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Pith citing papers