Open-source alternatives to Code4struct

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DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured knowledge graphs. It provides a pipeline for identifying and classifying named entities, semantic relations, and events, converting raw datasets into structured triples. The project utilizes large language models as tool callers through a standardized context protocol to drive automated data extraction processes. It supports schema-driven extraction across multiple domains and bilingual text, employing joint entity and relation extraction to identify components in a single structured

This is the github repository for the paper to be appeared at NAACL 2024 main conference: Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models.

This project is a comprehensive machine learning interview guide and technical study resource designed for individuals preparing for machine learning and AI engineering roles. It provides a collection of materials and practice problems covering core algorithms, theoretical fundamentals, and the implementation of neural network architectures. The resource serves as a technical reference for generative AI development, focusing on the design and optimization of large language models and diffusion systems. It includes frameworks for system design, covering the architecture of production machine l

MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU

This repository contains the code for our paper:

Zhao Zhang 3   Ziwei Liu &#x2709,1 1 S-Lab, Nanyang Technological University  2 Shanghai Jiao Tong University  3 SenseTime Research  4 Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China   Equal Contribution  † Project Lead …

Please save your dataset in data folder. Note that CoNLL2003 and WNUT2017 are open-source datasets, ACE2004 and ACE2005 are not free. We keep our CoNLL2003 and WNUT2017 train and test JSON files in data folder.

This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.

A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph，本项目提出了中文复合事件的概念与显式模式，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。

An exploration for Eventline (important news Rank organized by pulic time)，针对某一事件话题下的新闻报道集合，通过使用docrank算法，对新闻报道进行重要性识别，并通过新闻报道时间挑选出时间线上重要新闻。

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

An implementation for Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction - Please contact Yaojie Lu (@luyaojie) for questions and suggestions.

Source code for Findings of ACL 2024 paper: Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction.

Code for ICCV 2023 Paper : “ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction”

This is the implementation of the paper Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. ACL'2022.

JARVIS is a system for large language model task orchestration, deployment management, and automation benchmarking. It utilizes a task orchestrator to decompose complex requests into actionable steps and coordinates various expert models to synthesize final responses. The project includes an AI model deployment manager to handle the local deployment of expert models across different hardware scales. It further provides an AI workflow API consisting of web endpoints used to trigger automated task workflows and retrieve results from model selection stages. The framework incorporates an automat

Official repo for MM-REACT

An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA, AAAI 2022 (Oral)

Implementation of CVPR 2023 paper "Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering".

Pytorch Solution of Event Extraction Task using BERT on ACE 2005 corpus

This is the codebase of the paper: ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis.

The original implementation of the paper. You can cite the paper as below.