Large Language Models for Supply Chain Optimization

KDD'22 ''Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning''

Code for EMNLP 2020 paper `Connecting the Dots: Event Graph Schema Induction with Path Language Modeling`

trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.

[TRC] Context-aware next location prediction

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

QLoRA: Efficient Finetuning of Quantized LLMs

Large Language Models as Human Mobility Predictors

DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS

Open source code for AlphaFold 2.

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

Medical Question-Answering datasets prepared for the TREC 2017 LiveQA challenge (Medical Task)

The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".

[PGAI@CIKM 2023] PyTorch Implementation of LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

[ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."

A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

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

GLM (General Language Model)

🦜🔗 Build context-aware reasoning applications

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Code for the paper Fine-Tuning Language Models from Human Preferences