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Name: Bin Fu
Type: User
Bio: I received PhD degree majored in CS from Peking University in 2022. From 2023, I worked as a researcher & manager in charge of LLM safety & alignment in XIAOI.
Location: Shanghai
Name: Bin Fu
Type: User
Bio: I received PhD degree majored in CS from Peking University in 2022. From 2023, I worked as a researcher & manager in charge of LLM safety & alignment in XIAOI.
Location: Shanghai
I have implemented the common operations in NLP domain (实现NLP中各种常规操作,如分词、句法、命名实体识别、语义话题模型、爬虫、ElasticSearch和Faiss向量检索,huggingface-transformers完成各种任务,2023)
个人总结并实现的python高级编程知识,包括实现基本操作、并发编程(多线程、多进程和协程)、各种设计模式(单例、装饰器、适配器、工场等,2023)
the code of our paper "Generalized Collaborative Personalized Ranking for Recommendation". I realize a Collaborative Filtering Framework using Tensorflow (基于TensorFlow实现的协同过滤推荐框架算法库,2018)
I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. (对工业界学术界的CTR推荐调研并实现25个算法模型,2023)
The code of our paper "D-FS--A Novel Integration Method of Discretization and Feature Selection" (一种离散和特征选择集成方法,2017)
the code of our paper "Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences For Dynamic Person-Job Fit" (实现十多个人岗匹配模型和动态人岗匹配模型的算法库,2021)
The code of our paper "A Feature Selection Framework Based on Supervised Data Clustering" (一种基于有监督数据聚类的特征选择方法,2017)
A Survey of LLM Alignment (SFT & RLHF), and A Survey of RLHF methods
个人实现pytorch高级编程,包括基本知识、卷积神经网络、循环神经网络、生成对抗、模型部署和分布式训练(2022)
I have implemented some reciprocal recommendation models (实现各种互惠推荐模型的算法库,2019-2020)
I have implemented some Reinforcement Learning methods with Pytorch (实现一些强化学习模型的demo,2022)
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