Tag
This paper uses large-scale semantic analysis of over 14,000 publications to map definitions of learner agency and autonomy, revealing three dimensions and a systematic underrepresentation of the sociocultural dimension in existing scales. It argues that current generative AI research in education overly focuses on learning regulation, narrowing the behavioral repertoire for AI-mediated learning environments.
Decypher is a tool that provides deep execution context for agentic coding by performing semantic analysis of codebases, enabling agents to answer queries about code structure and interactions.
Sem-Detect introduces a method to distinguish AI-generated peer reviews from human-written ones by combining textual features with claim-level semantic analysis. It achieves a 25.5% improvement in true positive rate at 0.1% false positive rate over baselines, and shows that LLM-refined human reviews retain distinct semantic signals, with fewer than 3.5% misclassified as AI-generated.
CodeGraph is an open-source tool that pre-builds a semantic knowledge graph for codebases, allowing Claude Code to query the graph instead of scanning files one by one, thereby significantly reducing tool calls (by 92%) and improving exploration speed (by 71%). It supports 19 programming languages and 13 frameworks.
The paper introduces PASA, a robust watermarking algorithm for LLM-generated text that operates at the semantic level using latent embedding spaces to resist semantic-invariant attacks like paraphrasing.
This paper measures the semantic structure and evolution of conspiracy theories using 169.9M Reddit comments from r/politics (2012-2022), introducing the concept of "semantic objects" bounded by semantic neighborhoods to track how conspiracy theory meanings change over time beyond simple keyword-based approaches.
CodeGraph is an open-source tool that creates a pre-indexed knowledge graph of a codebase, enabling Claude Code's exploration agents to query symbol relationships and call graphs instantly, reducing tool calls by up to 96% and exploration time by 77%.