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PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Paper List of Pre-trained Foundation Recommender Models
Multi-Behavior Recommendation-Papers
Aligning News Recommendation with Pre-trained Language Models by Automatic Prompt Learning
Calculating the actual value of your job beyond just salary
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
PyTorch-Lightning Library for Neural News Recommendation
A PyTorch implementation of Ranking Distillation
Demo code for news click-through rate prediction competition.
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
A list of awesome papers and resources of recommender system on large language model (LLM).
Code for paper "Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models"
本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料,该资料目前包含 自然语言处理各领域的 面试题积累。
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
Transformer: PyTorch Implementation of "Attention Is All You Need"
This is the notes of the way of machine learning study. You may find something useful in it.