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A collection of datasets and tasks for legal machine learning
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Reading Wikipedia to Answer Open-Domain Questions
A prototype code repository for construction image dense captioning and safety hazard identification.
ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索(bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….)
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""
Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).
Code and data for the publication "Structured information extraction from scientific text with large language models" by Dagdelen & Dunn et al.
LLM-based ontological extraction tools, including SPIRES
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…