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[IEEE TKDE] A LLM-based Recommender System with user&item Tokenizers and a generative retrieval paradigm.
The code implementation for the paper "How Well Does Generative Recommendation Generalize?"
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
This repository provides valuable reference for researchers in the field of multimodality, please start your exploratory travel in RL-based Reasoning MLLMs!
[Frontiers of Computer Science 2025] EduStudio: towards a unified library for student cognitive modeling
[NeurIPS'23] Disentangling Cognitive Diagnosis with Limited Exercise Labels
MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation
[ICLR2026] This is the first paper to explore how to effectively use R1-like RL for MLLMs and introduce Vision-R1, a reasoning MLLM that leverages cold-start initialization and RL training to incen…
GRID: Generative Recommendation with Semantic IDs
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
A repository listing important datasets for multimodal recommender systems
The implementations of paper "Reinforced Preference Optimization for Recommendation" (ReRe).
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Source code of TOIS paper "A Unified Framework for Multi-Domain CTR Prediction via Large Language Models"
[KDD'25] LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation.
A simple, easy-to-hack GraphRAG implementation
Comprehensive tools and frameworks for developing foundation models tailored to recommendation systems.
[EMNLP2025] "RecGPT: A Foundation Model for Sequential Recommendation"
Official Repository of "LLM × DATA" Survey Paper
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models