DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

AMR-Visualization Tools, show AMR graph strcucture

A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf

Official Repository for paper "Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model"

Official repository of RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning (https://arxiv.org/abs/2402.14840)

全方位大模型评测知识库 | 提示词工程（Prompt Engineer）、各渠道大模型榜单（LeaderBoard）、标杆数据集、安全检测、对抗攻击、智能体、优质数据、文本分类、关系抽取、语音识别、语音合成、多模态、文本生成图片、文本生成视频、点云、智能对话、摘要总结、问答、字词释义、知识问答、学科考试、医学、信息学、心理学、指代消解、常识推理、知识问答...

Code for the paper "Language Models are Unsupervised Multitask Learners"

Code for EACL 2023 paper "LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control"

Code for Findings of ACL 2021 paper: Logic-Consistency Text Generation from Semantic Parses

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

Data and code for EMNLP 2020 paper "Logic2Text: High-Fidelity Natural Language Generation from Logical Forms"

Lightweight self-hosted span annotation tool

PULSE: Pretrained and Unified Language Service Engine

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

PromptCBLUE: a large-scale instruction-tuning dataset for multi-task and few-shot learning in the medical domain in Chinese

GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型

HuatuoGPT2, One-stage Training for Medical Adaption of LLMs. (An Open Medical GPT)

Meditron is a suite of open-source medical Large Language Models (LLMs).

A multi-purpose toolkit for table-to-text generation: web interface, Python bindings, CLI commands.

Clinical NLP Shared Task @ NAACL'24

MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO、GRPO。

Data-to-text generation with LLMs using ad-hoc datasets.

The official Meta Llama 3 GitHub site