How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
This is the evaluation data and Large Language Models (LLMs) results from our CIKM'23 paper:
The main features of aaronheee/llms-as-zero-shot-conversational-recsys are: Zero-Shot Recommendation Models, Datasets and Benchmarks.
Projects with overlapping indexed features include: hkuds/llmrec — PyTorch implementation for WSDM 2024 paper LLMRec: Large Language Models with Graph Augmentation for Recommendation. anord-wang/llm4rec — This ReadMe file contains the Python codes for the paper. apolloscapeauto/dataset-api — The ApolloScape Open Dataset for Autonomous Driving and its Application. argoai/argoverse-api — Official GitHub repository for Argoverse dataset. autonomousvision/kitti360scripts — This repository contains utility scripts for the KITTI-360 dataset. agiresearch/openp5 — This repo presents OpenP5, an open-source platform for LLM-based Recommendation development, finetuning, and evaluation.
PyTorch implementation for WSDM 2024 paper LLMRec: Large Language Models with Graph Augmentation for Recommendation.
The ApolloScape Open Dataset for Autonomous Driving and its Application.
This repo presents OpenP5, an open-source platform for LLM-based Recommendation development, finetuning, and evaluation.
