Researchers derived 19 design guidelines for AI-supported adult learning from thematic analysis of real deployments and demonstrated their use via heuristic evaluation and an ideation tool.
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arXiv:2308.03109 [cs]
10 Pith papers cite this work. Polarity classification is still indexing.
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VulKey introduces hierarchical expert knowledge abstractions to guide LLMs in vulnerability repair, reporting 31.5% accuracy on PrimeVul (7.6% above best baseline) and strong results on Vul4J.
MR-Adopt deduces input transformations from hard-coded MR test cases using LLMs, data-flow refinement, and output-relation selection to enable reuse with new source inputs.
BloomBee is a distributed LLM inference system that achieves up to 1.76x higher throughput and 43.2% lower latency than prior decentralized systems by optimizing communication across multiple dimensions in low-bandwidth internet settings.
Organizational policies constrain agency in AI-mediated software engineering more than individual preferences, with seniors using detailed delegation and pre-AI instincts while juniors oscillate between over-reliance and avoidance.
Zorya introduces a concolic execution approach using Ghidra P-Code to detect vulnerabilities in Go programs and extend to other languages like C.
MPS can boost performance up to 30% and cut energy 20% with careful provisioning but degrades sharply under memory contention, whereas MIG delivers steadier gains through hardware isolation at the cost of higher overhead and occasional performance losses.
UBRI case study abstracts recurring blockchain design tensions into a framework linking academic research to deployment constraints and policy adaptation.
Smaller LLMs produce functional but limited Python code with variable quantization effects and quality/maintainability concerns that require validation before use.
The paper describes ongoing efforts to characterize developer diversity in cognition and context and to use personalization to make LLM-based conversational programming assistants more inclusive.
citing papers explorer
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Guidelines for Designing AI Technologies to Support Adult Learning
Researchers derived 19 design guidelines for AI-supported adult learning from thematic analysis of real deployments and demonstrated their use via heuristic evaluation and an ideation tool.
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VulKey: Automated Vulnerability Repair Guided by Domain-Specific Repair Patterns
VulKey introduces hierarchical expert knowledge abstractions to guide LLMs in vulnerability repair, reporting 31.5% accuracy on PrimeVul (7.6% above best baseline) and strong results on Vul4J.
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MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
MR-Adopt deduces input transformations from hard-coded MR test cases using LLMs, data-flow refinement, and output-relation selection to enable reuse with new source inputs.
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Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization
BloomBee is a distributed LLM inference system that achieves up to 1.76x higher throughput and 43.2% lower latency than prior decentralized systems by optimizing communication across multiple dimensions in low-bandwidth internet settings.
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From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering
Organizational policies constrain agency in AI-mediated software engineering more than individual preferences, with seniors using detailed delegation and pre-AI instincts while juniors oscillate between over-reliance and avoidance.
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Exposing Go's Hidden Bugs: A Novel Concolic Framework
Zorya introduces a concolic execution approach using Ghidra P-Code to detect vulnerabilities in Go programs and extend to other languages like C.
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A comprehensive evaluation of spatial co-execution on GPUs using MPS and MIG technologies
MPS can boost performance up to 30% and cut energy 20% with careful provisioning but degrades sharply under memory contention, whereas MIG delivers steadier gains through hardware isolation at the cost of higher overhead and occasional performance losses.
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Systematizing Blockchain Research Themes and Design Patterns: Insights from the University Blockchain Research Initiative (UBRI)
UBRI case study abstracts recurring blockchain design tensions into a framework linking academic research to deployment constraints and policy adaptation.
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Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models
Smaller LLMs produce functional but limited Python code with variable quantization effects and quality/maintainability concerns that require validation before use.
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Personalizing LLM-Based Conversational Programming Assistants
The paper describes ongoing efforts to characterize developer diversity in cognition and context and to use personalization to make LLM-based conversational programming assistants more inclusive.