Choreographic Programming With Multicast and Multiply Located Values
Choreographic programming simplifies reasoning about distributed systems by using a single global program called a choreography.
LLM4Decompile: Decompiling Binary Code with Large Language Models
Large language models show promise in decompiling binary code, leading to the release of the first open-source LLMs for decompilation.
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection
AdaCCD is a novel method for cross-lingual code clone detection that leverages adaptive semantic contrasts discovery.
ContrastRepair: Enhancing Automated Program Repair with Contrastive Test Cases
ContrastRepair significantly improves program repair efficiency by providing informative feedback to Large Language Models through contrastive test cases.
CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming at CHI '24
CoPrompt assists programmers in collaborative NL programming by providing mechanisms for sharing, referring, requesting, and linking prompts.
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models
Semi-Instruct bridges the gap between Natural-Instruct and Self-Instruct to improve code Large Language Models by converting diverse but improper codes into proper instruction-code pairs.
Libfork: Portable Continuation-Stealing with Stackless Coroutines
Libfork enables fully-portable continuation stealing with stackless coroutines, achieving optimal time/memory scaling.
Java Classes with “-Er” and “-Utils” Suffixes: Complexity Analysis
Classes with “-Er/-Or” and “-Utils” suffixes in Java exhibit higher complexity, impacting maintainability.
Unraveling Machine and Human Programmers' Code Patterns
Large language models blur the lines between machine- and human-authored code, but DetectCodeGPT offers a novel method to detect machine-generated code by capturing distinct stylized patterns.
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search
ProCQA is a large-scale dataset extracted from StackOverflow, offering mixed-modal QA pairs for programming question answering, leading to significant performance improvements in code retrieval benchmarks.
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