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This is the evaluation data and Large Language Models (LLMs) results from our CIKM'23 paper:
This repo presents OpenP5, an open-source platform for LLM-based Recommendation development, finetuning, and evaluation.
Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"
PyTorch implementation for WSDM 2024 paper LLMRec: Large Language Models with Graph Augmentation for Recommendation.
The main features of hkuds/llmrec are: Zero-Shot Recommendation Models, Datasets and Benchmarks.
Projects with overlapping indexed features include: aaronheee/llms-as-zero-shot-conversational-recsys — This is the evaluation data and Large Language Models (LLMs) results from our CIKM'23 paper:. agiresearch/openp5 — This repo presents OpenP5, an open-source platform for LLM-based Recommendation development, finetuning, and evaluation. 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. agi-edgerunners/llm-next-item-rec — Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models".
