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2 dépôts

Awesome GitHub RepositoriesClaim Support Verifications

Tools that validate manuscript claims by retrieving original source text via direct links.

Distinct from Anchor Links: Distinct from Anchor Links: focuses on the verification of truthfulness using citations rather than navigation markers.

Explore 2 awesome GitHub repositories matching scientific & mathematical computing · Claim Support Verifications. Refine with filters or upvote what's useful.

Awesome Claim Support Verifications GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • imbad0202/academic-research-skillsAvatar de Imbad0202

    Imbad0202/academic-research-skills

    32,007Voir sur GitHub↗

    This project is an LLM research workflow framework and academic writing automation tool designed to coordinate the research, drafting, and peer-review processes of scholarly papers. It functions as a scientific manuscript auditor and an AI peer review system that uses multi-agent evaluation to verify citation integrity and score manuscripts against quality rubrics. The system distinguishes itself through a verification suite that employs vision models for figure fidelity auditing and anchor links for claim support verification. It includes a writing style calibration utility that analyzes pre

    Implements claim verification by fetching original source text via anchor links to validate citations.

    Pythonacademic-pipelineacademic-writingai-research
    Voir sur GitHub↗32,007
  • hzwer/writingaipaperAvatar de hzwer

    hzwer/WritingAIPaper

    3,414Voir sur GitHub↗

    WritingAIPaper is a suite of tools designed for automating the structuring, drafting, and auditing of academic research manuscripts. It functions as an AI writing assistant that guides the creation of papers from a core idea to a finished document, utilizing a research manuscript structuring tool to organize content around specific technical contributions. The project includes a deceptive research practice detector that identifies common reporting manipulations, such as hyperparameter cherry-picking, selective metric reporting, and incremental padding. It also provides a submission readiness

    Validates manuscript claims by requiring mapping to specific references or experimental facts.

    aipaperwriting
    Voir sur GitHub↗3,414
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