Multi-SWE-bench provides 1,632 high-quality issue-resolving instances across Java, TypeScript, JavaScript, Go, Rust, C, and C++ for evaluating LLMs on codebase modifications.
Codes: Natural language to code repository via multi-layer sketch
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EffiSkel improves LLM-generated code efficiency by supervising on extracted structural efficiency skeletons via multi-task learning of code generation and skeleton prediction.
ATM is a CID-brokered governance framework that maps write intents to semantic atoms for pre-admission control, validation, and neutral-steward application in single-domain multi-agent code synthesis.
A literature survey that collects and categorizes 124 papers on LLM-based agents for software engineering from SE and agent perspectives.
citing papers explorer
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Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
Multi-SWE-bench provides 1,632 high-quality issue-resolving instances across Java, TypeScript, JavaScript, Go, Rust, C, and C++ for evaluating LLMs on codebase modifications.
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Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation
EffiSkel improves LLM-generated code efficiency by supervising on extracted structural efficiency skeletons via multi-task learning of code generation and skeleton prediction.
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ATM: CID-Brokered Pre-Write Admission for Multi-Agent Code Co-Synthesis
ATM is a CID-brokered governance framework that maps write intents to semantic atoms for pre-admission control, validation, and neutral-steward application in single-domain multi-agent code synthesis.
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Large Language Model-Based Agents for Software Engineering: A Survey
A literature survey that collects and categorizes 124 papers on LLM-based agents for software engineering from SE and agent perspectives.
- RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices