question-answering

There are 2223 repositories under question-answering topic.

  • chatgpt-corpus

    ChatGPT 中文语料库 对话语料 小说语料 客服语料 用于训练大模型

  • GNN4NLP-Papers

    A list of recent papers about Graph Neural Network methods applied in NLP areas.

  • rag-demystified

    An LLM-powered advanced RAG pipeline built from scratch

    Language:Python852
  • RocketQA

    🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

    Language:Python781
  • awesome-neural-models-for-semantic-match

    A curated list of papers dedicated to neural text (semantic) matching.

    Language:HTML781
  • PIXIU

    This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

    Language:Jupyter Notebook771
  • awesome-qa

    😎 A curated list of the Question Answering (QA)

  • RAG-FiT

    Framework for enhancing LLMs for RAG tasks using fine-tuning.

    Language:Python748
  • primeqa

    The prime repository for state-of-the-art Multilingual Question Answering research and development.

    Language:Python737
  • PromptKG

    PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

    Language:Python732
  • chat

    基于自然语言理解与机器学习的聊天机器人,支持多用户并发及自定义多轮对话

    Language:Python703
  • llmflows

    llmflows

    LLMFlows - Simple, Explicit and Transparent LLM Apps

    Language:Python701
  • tevatron

    Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.

    Language:Python694
  • awesome-question-answering

    Resources, datasets, papers on Question Answering

  • qagnn

    [NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

    Language:Python657
  • QA-Snake

    基于多搜索引擎和深度学习技术的自动问答

    Language:Python645
  • cdQA

    cdQA

    ⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

    Language:Python616
  • BertWithPretrained

    An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @月来客栈

    Language:Python607
  • fastT5

    fastT5

    ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

    Language:Python587
  • informers

    Fast transformer inference for Ruby

    Language:Ruby584
  • rag-chatbot

    Chat with multiple PDFs locally

    Language:Python581
  • MemN2N-babi-python

    End-To-End Memory Networks for bAbI question-answering tasks

    Language:Python577
  • UnifiedSKG

    [EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

    Language:Python564
  • tensorflow-nlp-tutorial

    tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.

    Language:Jupyter Notebook555
  • ArXivChatGuru

    Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.

    Language:Python554
  • happy-transformer

    Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

    Language:Python540
  • Giveme5W1H

    Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

    Language:HTML525
  • Front-end-Job-Interview-Questions

    Ответы на вопросы на должность Frontend разработчика.

  • DialogStudio

    DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI

    Language:Python516
  • Rankify

    🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.

    Language:Python505
  • mac-network

    Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

    Language:Python505
  • MMMU

    This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

    Language:Python491
  • similarity-search-kit

    🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.

    Language:Swift488
  • wdoc

    Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

    Language:Python480
  • MiniSearch

    MiniSearch

    Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses WebLLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space

    Language:TypeScript479
  • lumos

    Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"

    Language:Python470