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Squirrel Ai Learning by Yixue Education Inc.
- Seattle, WA
- https://sites.google.com/site/qingsongwen8/
- @qingsongedu
- in/qingsong-wen-22814156
- https://scholar.google.com/citations?user=vjPJvwYAAAAJ&hl=en
Stars
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
The repository of "Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction"
✨✨ MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
The collection of related papers and resources for the paper Time Series Analysis for Education: Methods, Applications, and Future Directions.
[KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
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。
✨✨Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models
Official Implementation of 'Evaluating Large Language Models with Educational Knowledge Graphs: Challenges with Prerequisite Relationships and Multi-Hop Reasoning'
BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)
Open-Sora: Democratizing Efficient Video Production for All
A professional list of Deep Learning and Large (Language) Models (LM, LLM, FM) for Trajectory Data Management and Mining.
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"
Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.
The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIPS 2022.
Resources of deep learning for mathematical reasoning (DL4MATH).
程序员延寿指南 | A programmer's guide to live longer
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming