semantic-analysis

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#semantic-analysis

@GitHub_Daily: When developing a project with Claude Code, if the codebase is large, every exploration of the code structure requires scanning a bunch of files, resulting in many tool calls, slow speed, and heavy token usage. So I found CodeGraph, an open-source tool that pre-builds a semantic knowledge graph for the codebase, allowing Claude Code to query the graph directly instead of scanning files one by one...

X AI KOLs Timeline · 2d ago Cached

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.

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#semantic-analysis

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks

Hugging Face Daily Papers · 2026-05-09 Cached

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.

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#semantic-analysis

Measuring the Semantic Structure and Evolution of Conspiracy Theories

arXiv cs.CL · 2026-04-20 Cached

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.

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#semantic-analysis

colbymchenry/codegraph

GitHub Trending (daily) · 21h ago Cached

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%.

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