Codebase, data and models for the SummaC paper in TACL
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Updated
Jan 30, 2025 - Jupyter Notebook
Codebase, data and models for the SummaC paper in TACL
CMI-Finder is a deep learning-based framework to detect inconsistent condition-message statements in Python code
Mono Repo: Contains core, tlr, and inconsistency detection
AI-powered tool for detecting inconsistencies in PowerPoint presentations. Built for Noogat/a16z internship - combines Gemini 2.5 Flash with rule-based analysis for comprehensive presentation quality checking.
This repository provides a fully reproducible R script for random‑effects network meta‑analysis of continuous outcomes, including data preparation, inconsistency assessment, treatment ranking, and publication bias evaluation.
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