Popular GitHub Repositories for Irrelevant Citations

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

High accuracy RAG for answering questions from scientific documents with citations

RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.

Generative Adversarial Networks (GANs) resources sorted by citations

An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.

LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

Vocabulary Trimming (VT) is a model compression technique, which reduces a multilingual LM vocabulary to a target language by deleting irrelevant tokens from its vocabulary. This repository contains a python-library vocabtrimmer, that remove irrelevant tokens from a multilingual LM vocabulary for the target language.

Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!

AI-powered Telegram bot for interactive article analysis. Try now: @RAG_Engineering_bot

CustomGPT.ai’s RAG API’s Starter Kit, including multi-instance embedded widgets, floating buttons, and standalone application.

A MAS that searches the web recursively to generate comprehensive research reports with or without citations.

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

Implementation of M2PT in PyTorch from the paper: "Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities"

Using Machine Learning to detect irrelevant and inappropriate text, entirely in the browser.

An Open Source Python package to strengthen Gemini Citations- Validated, Controlled, Reliable and Structured Citations

RAG-API: A production-ready Retrieval Augmented Generation API leveraging LLMs, vector databases, and hybrid search for accurate, context-aware responses with citation support.

An AI document assistant that answers questions about your PDFs with citations and highlights them directly in the document.

Streamlit UI for Microsoft GraphRAG, with post-processing for source citations.

Official implementation for "Instructing Large Language Models to Identify and Ignore Irrelevant Conditions" (NAACL 2024)