[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

a curated list of data for reasoning ai

Instruct-tune LLaMA on consumer hardware

Code and documentation to train Stanford's Alpaca models, and generate the data.

[ICLR'24 spotlight] Chinese and English Multimodal Large Model Series (Chat and Paint) | 基于CPM基础模型的中英双语多模态大模型系列

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

📖A curated list of Awesome LLM/VLM Inference Papers with codes, such as FlashAttention, PagedAttention, Parallelism, etc. 🎉🎉

An Open-source Toolkit for LLM Development

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Multi-agent Social Simulation + Efficient, Effective, and Stable alternative of RLHF. Code for the paper "Training Socially Aligned Language Models in Simulated Human Society".

Train transformer language models with reinforcement learning.

High-Resolution Image Synthesis with Latent Diffusion Models

[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

A curated reading list for large language model (LLM) alignment. Take a look at our new survey "Large Language Model Alignment: A Survey" for more details!

Aligning Large Language Models with Human: A Survey

disentanglement_lib is an open-source library for research on learning disentangled representations.

A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-papers and https://github.com/matthewvowels1/Awesome-VAEs.

Unsupervised Learning Research Project - An attempt to combine some ideas on generative networks and disentangled representation learning

[arXiv22] Disentangled Representation Learning for Text-Video Retrieval

A curated list of research papers related to learning disentangled representations

A sumary of MoE experimental setups across a number of different papers.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Ensemble learning related books, papers, videos, and toolboxes

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

A high-throughput and memory-efficient inference and serving engine for LLMs