A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

通义千问VLLM推理部署DEMO

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

主要记录大语言大模型（LLMs） 算法（应用）工程师多模态相关知识

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Aligning LMMs with Factually Augmented RLHF

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Making large AI models cheaper, faster and more accessible

SIGIR2021: Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion

ERNIE Pytorch Version

Question Answering over Knowledge Bases

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

🤖 A Python library for learning and evaluating knowledge graph embeddings

SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in combination with self-training and knowledge-distillation, or…

东南大学《知识图谱》研究生课程

TensorFlow code and pre-trained models for BERT

个人基于谷歌开源的BERT编写的文本分类器（基于微调方式），可自由加载NLP领域知名的预训练语言模型BERT、Bert-wwm、Roberta、ALBert以及ERNIE1.0

KG-BERT: BERT for Knowledge Graph Completion

SpellGCN

some paper I read

北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

Collection of papers on the related directions of Text Matching tasks

some paper I read

Source code and data for our long paper (Wu et al., 2019)