HY-WU (Part I): An Extensible Functional Neural Memory Framework and An Instantiation in Text-Guided Image Editing

We propose Reinforcement Learning from Community Feedback (RLCF), a training paradigm that uses large-scale community signals as supervision, and formulate scientific taste learning as a preference…

Memory Sparse Attention - 亿级（100M）token 上下文的端到端可训练记忆框架

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

OpenClaw-RL: Train any agent simply by talking

"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"

The Official implementation of our paper "RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment"

Official implementation for "Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention" (NeurIPS2024 Spotlight)

[NeurIPS 2025 Spotlight] TPA: Tensor ProducT ATTenTion Transformer (T6) (https://arxiv.org/abs/2501.06425)

An Open Foundation Model and Benchmark to Accelerate Generative Recommendation

A Comparative Framework for Multimodal Recommender Systems

[TMM'26] Continuously Updated Awesome Multimodal Recommendation Paper List

Short Video Segment-level User Interests Modeling in Personalized Recommendation

Mamba SSM architecture

A unified, comprehensive and efficient recommendation library

[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Github pages backend for https://differentialprivacy.org

[Under Review] Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Build resilient language agents as graphs.

The agent engineering platform

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

A Curated Collection of resources for applied AI engineering (work in progress).

Paper List for Recommend-system PreTrained Models