kiminh

ReLLa-hf4.35.2

Implementation of the paper "ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation"

ClickPrompt

The PyTorch implementation of ClickPrompt

Awesome-Cold-Start-Recommendation

A curated list of papers on cold-start recommendations.

MacGNN

The source code of MacGNN, The Web Conference 2024.

SnapKV

LLM-RecSys

GenIR-Survey

This is the repository for the GenIR survey.

stark

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

LLaMA3-Quantization

A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..

EasyContext

Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.

anonymous_2024KDDJvbWUqD

MM23-MISSRec

The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).

Complex_QA_RAG

LFG

Updated Source Code of "LFG: A Generative Network for Real-Time Recommendation".

ExtractGPT

Attribute Value Extraction using Large Language Models

Adapter4Rec

Multi-domain Recommendation with Adapter Tuning

MaxKB

🚀 基于 LLM 大语言模型的知识库问答系统。开箱即用，支持快速嵌入到第三方业务系统，1Panel 官方出品。

LLMRec

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

open-eqa

OpenEQA Embodied Question Answering in the Era of Foundation Models

REAR

Implementation of "REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering"

LLMVulnerabilityDetection

recmetrics

A library of metrics for evaluating recommender systems

M-scan

The implementation of M-scan algorithm

mercari-ml-merrec-pub-us

title2event_baselines

[EMNLP'22] Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset

eis-itransformer

graph-rag

Graph based retrieval + GenAI = Better RAG in production

LMRS

quiver-feature

High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph

QPP-GenRE