AaronHeee
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[EMNLP 2024 Findings] Official Implementation of Full-Scale Matryoshka Representation Learning for Multimodal Recommendation (fMRLRec).
Scripts for processing the Amazon Reviews 2023 dataset; implementations and checkpoints of BLaIR: "Bridging Language and Items for Retrieval and Recommendation".
The official PyTorch implementation of Google's Gemma models
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets.
LaTeX class file for writing dissertations at UC San Diego
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
RUCAIBox / LC-Rec
Forked from zhengbw0324/LC-Rec[ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."
Vector (and Scalar) Quantization, in Pytorch
[WSDM 2024] Official PyTorch Implementation of Linear Recurrent Units for Sequential Recommendation (LRURec)
(WWW'24) The first RS that tightly combines LLM with ID-based RS.
Paper List for Recommend-system PreTrained Models
The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)
Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.
Evaluation data, LLMs query code and results for "Large Language Models as Zero-Shot Conversational Recommenders" on CIKM 2023.
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
A high-throughput and memory-efficient inference and serving engine for LLMs
The official GitHub page for the survey paper "A Survey of Large Language Models".
Codebase for KDD 2023 paper, UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
User-Centric Conversational Recommendation with Multi-Aspect User Modeling (UCCR)
SGPT: GPT Sentence Embeddings for Semantic Search
An open-source tool-augmented conversational language model from Fudan University