Zobrazeno 1 - 10
of 996
pro vyhledávání: '"Zhao Weijie"'
Autor:
Sun Lijuan, Li Fan, Tan Weihao, Zhao Weijie, Li Yongxiang, Zhu Xiaotong, Gao Ping, Shu Gang, Wang Songbo, Jiang Qingyan, Wang Lina
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 51-61 (2023)
Lithocholic acid (LCA) is a classical secondary bile acid formed by the metabolism of gut microbiota. The TGR5 receptor (also known as G protein-coupled receptor 1, GPBAR1) is an important bile acid membrane receptor that mediates a variety of metabo
Externí odkaz:
https://doaj.org/article/4ae79f82b03f40b8b5d95ab3b09d83ba
Exploring the data sources used to train Large Language Models (LLMs) is a crucial direction in investigating potential copyright infringement by these models. While this approach can identify the possible use of copyrighted materials in training dat
Externí odkaz:
http://arxiv.org/abs/2409.13831
With the widespread adoption of Large Language Models (LLMs), concerns about potential misuse have emerged. To this end, watermarking has been adapted to LLM, enabling a simple and effective way to detect and monitor generated text. However, while th
Externí odkaz:
http://arxiv.org/abs/2407.13803
Given a Large Language Model (LLM) generation, how can we identify which training data led to this generation? In this paper, we proposed RapidIn, a scalable framework adapting to LLMs for estimating the influence of each training data. The proposed
Externí odkaz:
http://arxiv.org/abs/2405.11724
With the continuous popularity of deep learning and representation learning, fast vector search becomes a vital task in various ranking/retrieval based applications, say recommendation, ads ranking and question answering. Neural network based ranking
Externí odkaz:
http://arxiv.org/abs/2312.16828
Autor:
Li, Ping, Zhao, Weijie
Many hashing algorithms including minwise hashing (MinHash), one permutation hashing (OPH), and consistent weighted sampling (CWS) generate integers of $B$ bits. With $k$ hashes for each data vector, the storage would be $B\times k$ bits; and when us
Externí odkaz:
http://arxiv.org/abs/2306.15944
Autor:
Zhao, Weijie, Li, Ping
Feature interactions can play a crucial role in recommendation systems as they capture complex relationships between user preferences and item characteristics. Existing methods such as Deep & Cross Network (DCNv2) may suffer from high computational r
Externí odkaz:
http://arxiv.org/abs/2306.15881
Sparse data are common. The traditional ``handcrafted'' features are often sparse. Embedding vectors from trained models can also be very sparse, for example, embeddings trained via the ``ReLu'' activation function. In this paper, we report our explo
Externí odkaz:
http://arxiv.org/abs/2306.07607
To retrieve personalized campaigns and creatives while protecting user privacy, digital advertising is shifting from member-based identity to cohort-based identity. Under such identity regime, an accurate and efficient cohort building algorithm is de
Externí odkaz:
http://arxiv.org/abs/2304.13677
Autor:
Zhao, Weijie1 (AUTHOR)
Publikováno v:
National Science Review. Oct2024, Vol. 11 Issue 10, p1-8. 8p.