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Automatically Update NLP Papers Daily using Github Actions (ref: https://github.com/Vincentqyw/cv-arxiv-daily)
Lyz103 / cv-arxiv-daily
Forked from Vincentqyw/cv-arxiv-daily🎓Automatically Update Recommendation Papers Daily using Github Actions (Update Every 12th hours)
Official code for MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality
Official code for MoRA: LoRA Guided Multi-Modal Disease Diagnosis with Missing Modality
This repository contains the code for the paper: Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models
This repository contains the code for the paper: GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment
This repository contains the code for the paper: SirLLM: Streaming Infinite Retentive LLM
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
The implementation of paper "Language Models Encode Collaborative Signals in Recommendation"
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, I…
codes for paper "On Softmax Direct Preference Optimization for Recommendation" submitted to NeurIPS 2024
A Comprehensive Benchmark for Code Information Retrieval.
"XRec: Large Language Models for Explainable Recommendation"
Official implementation for "ALI-Agent: Assessing LLMs'Alignment with Human Values via Agent-based Evaluation"
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
🚀 Awesome LLM Agent: Discover LLM-Empowered Agents & Their Exciting Applications
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
Scripts for processing the Amazon Reviews 2023 dataset; implementations and checkpoints of BLaIR: "Bridging Language and Items for Retrieval and Recommendation".
Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System
(WWW'24) The first RS that tightly combines LLM with ID-based RS.
An implementation of the Hierarchical Embedding Model (HEM) for personalized product search
personalized product search with product reviews
Survey Paper List - Efficient LLM and Foundation Models
An open-source framework for self-supervised recommender systems.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.