CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation | Paper Citation Record

Observation 2444b788-3e25-4d06-8ad9-837ef4982743 · outbound

This paper cites How are multilingual systems constructed: Characterizing language use and selection in open-source multilingual software,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation How are multilingual systems constructed: Characterizing language use and selection in open-source multilingual software,

Reference 1

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Observation 6d3de179-c4ce-4f02-83bd-e1c0221faa99 · outbound

This paper cites Programming language trends in open source development: An evaluation using data from all production phase sourceforge projects,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Programming language trends in open source development: An evaluation using data from all production phase sourceforge projects,

Reference 2

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This paper cites A large scale study of programming languages and code quality in github,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation A large scale study of programming languages and code quality in github,

Reference 3

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Observation e6cc0948-8652-49c6-94bb-c21c196973ad · outbound

This paper cites Understanding language selection in multi-language software projects on github,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Understanding language selection in multi-language software projects on github,

Reference 4

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Observation 58cca88a-cd74-4a71-88c4-2b12628dcde5 · outbound

This paper cites On the impact of multi-language development in machine learning frameworks,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation On the impact of multi-language development in machine learning frameworks,

Reference 5

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Observation b810c47d-4eb7-4c8e-9e58-c612c2d265b2 · outbound

This paper cites An exploratory study on just- in-time multi-programming-language bug prediction,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation An exploratory study on just- in-time multi-programming-language bug prediction,

Reference 6

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Observation 267a92b5-2aca-4962-8d66-0fb45b128f0f · outbound

This paper cites Understanding resolu- tion of multi-language bugs: An empirical study on apache projects,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Understanding resolu- tion of multi-language bugs: An empirical study on apache projects,

Reference 7

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This paper cites Declarative static analysis for multilingual programs using codeql,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Declarative static analysis for multilingual programs using codeql,

Reference 8

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This paper cites Multi-language software development: Issues, challenges, and solutions,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Multi-language software development: Issues, challenges, and solutions,

Reference 9

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This paper cites Learning to detect and localize multilingual bugs,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Learning to detect and localize multilingual bugs,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:41.129237Z

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This paper cites Towards understanding and reasoning about android interoperations,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Towards understanding and reasoning about android interoperations,

Reference 11

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Observation a7a3c11b-59bc-4897-aa88-a9bde5da183d · outbound

This paper cites On multi-language software development, cross-language links and accompanying tools: a survey of professional software developers,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation On multi-language software development, cross-language links and accompanying tools: a survey of professional software developers,

Reference 12

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Observation 590b2061-7fbe-4597-8e3e-74c0aad8bb6f · outbound

This paper cites Mathprompter: Mathematical reasoning using large language models,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Mathprompter: Mathematical reasoning using large language models,

Reference 13

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Observation d30b66f8-2ca6-4c97-9ad5-77031de035d0 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation StarCoder 2 and The Stack v2: The Next Generation

Reference 14

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Observation 2a8010fe-6f59-45d3-8041-e3ea31c0924e · outbound

This paper cites From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 15

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This paper cites Multi-language software development in the llm era: Insights from practitioners’ conversations with chatgpt,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Multi-language software development in the llm era: Insights from practitioners’ conversations with chatgpt,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:40.734925Z

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Observation 5c7909a6-5d01-4827-817c-a1e2fc150684 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Evaluating Large Language Models Trained on Code

Reference 17

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This paper cites Program Synthesis with Large Language Models.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Program Synthesis with Large Language Models

Reference 18

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Observation 832d763b-8f69-460e-a5d6-f6d89e61faac · outbound

This paper cites Javabench: A benchmark of object-oriented code generation for evaluating large language models,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Javabench: A benchmark of object-oriented code generation for evaluating large language models,

Reference 19

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Observation 8be7c434-f1ae-4f43-9dd6-3a41f4d4c6d9 · outbound

This paper cites Evaluating large language models in class-level code generation,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Evaluating large language models in class-level code generation,

Reference 20

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This paper cites ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation

Reference 21

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This paper cites Codeagent: Enhancing code generation with tool-integrated agent systems for real-world repo-level coding challenges,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Codeagent: Enhancing code generation with tool-integrated agent systems for real-world repo-level coding challenges,

Reference 22

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Automated benchmark generation for repository-level coding tasks,

Reference 23

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Observation 603e2e88-5cc6-4f21-a5a6-4aac6ef9e02f · outbound

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

Reference 24

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Llms in web development: Evaluat- ing llm-generated php code unveiling vulnerabilities and limitations,

Reference 25

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This paper cites Web-Bench: A LLM Code Benchmark Based on Web Standards and Frameworks.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Web-Bench: A LLM Code Benchmark Based on Web Standards and Frameworks

Reference 26

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation WebApp1K: A Practical Code-Generation Benchmark for Web App Development

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:35.659880Z

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This paper cites Da-code: Agent data science code generation benchmark for large language models,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Da-code: Agent data science code generation benchmark for large language models,

Reference 28

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Benchmarking data science agents,

Reference 29

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Llms for science: Usage for code generation and data analysis,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:39.774594Z

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Exploring and characterizing large language models for embedded system development and debugging,

Reference 31

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Deploying and evaluating llms to program service mobile robots,

Reference 32

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Domaineval: An auto-constructed benchmark for multi-domain code generation,

Reference 33

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x,

Reference 34

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Multipl-e: a scalable and polyglot approach to benchmarking neural code generation,

Reference 35

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution

Reference 36

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This paper cites {PolyCruise}: A {Cross- Language} dynamic information flow analysis,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation {PolyCruise}: A {Cross- Language} dynamic information flow analysis,

Reference 37

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This paper cites Polyfax: A toolkit for characterizing multi- language software,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Polyfax: A toolkit for characterizing multi- language software,

Reference 38

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Abstract Syntax Networks for Code Generation and Semantic Parsing

Reference 39

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 40

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Humaneval-xl: A multilingual code generation benchmark for cross-lingual natural language generalization,

Reference 41

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation DeepSeek-V3 Technical Report

Reference 42

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Observation c4ebd78b-e076-4a43-8e68-c1103b6c50c9 · outbound

This paper cites CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:56:37.775692Z

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Observation b1ad6c5a-9d5a-4db5-94ce-2e2803a3afc7 · outbound

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation GPT-4o System Card

Reference 44

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This paper cites Glm-4 model api documentation,.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Glm-4 model api documentation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:38.110298Z

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Observation 547f203b-6250-46b5-8a49-949b824f284e · outbound

This paper cites Qwen3 Technical Report.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Qwen3 Technical Report

Reference 46

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Observation 5f0dcb6f-41a0-4832-8f53-dffa3343e092 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 47

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Observation ed98f7f8-d2bf-4c89-8cbb-1f6ff6ef9b24 · outbound

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation The Llama 3 Herd of Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:37.256439Z

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Observation 8a3a1ff5-5607-4e4c-9f1f-915756633981 · outbound

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Gemma: Open Models Based on Gemini Research and Technology

Reference 49

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Observation 81d9d303-12ec-45c3-a20c-8cc3c58ca87a · outbound

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CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Qwen2.5-Coder Technical Report

Reference 50

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Observation 85f1b7f9-9b11-47de-b0f9-ba32d1277372 · outbound

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

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation Code Llama: Open Foundation Models for Code

Reference 51

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Observation 91811124-9176-465d-ac0e-191ad7de5836 · outbound

This paper cites CodeGemma: Open Code Models Based on Gemma.

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation CodeGemma: Open Code Models Based on Gemma

Reference 52

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