Zobrazeno 1 - 10
of 1 044
pro vyhledávání: '"Xu Zhichao"'
Publikováno v:
矿业科学学报, Vol 6, Iss 1, Pp 100-108 (2021)
Aiming at the problems of low detection accuracy and low real-time performance in the detection and recognition of mine moving targets in foggy and low-illumination environment, a method based on deep convolutional neural network for intelligent dete
Externí odkaz:
https://doaj.org/article/c4515e048c384b8a9a451816ea3ac4f3
Increasingly, model compression techniques enable large language models (LLMs) to be deployed in real-world applications. As a result of this momentum towards local deployment, compressed LLMs will interact with a large population. Prior work on comp
Externí odkaz:
http://arxiv.org/abs/2407.04965
Publikováno v:
Geofluids, Vol 2022 (2022)
Under the background of rising environmental temperature, the state of warm frozen soil near the phase transition is extremely unstable. In order to explore the relationship between temperature and mechanical properties of warm frozen soil, a damage
Externí odkaz:
https://doaj.org/article/43b4f896120b480ca93cdf50e895c46e
Autor:
Xu, Zhichao
Transformer structure has achieved great success in multiple applied machine learning communities, such as natural language processing (NLP), computer vision (CV) and information retrieval (IR). Transformer architecture's core mechanism -- attention
Externí odkaz:
http://arxiv.org/abs/2403.18276
By allowing models to predict without task-specific training, in-context learning (ICL) with pretrained LLMs has enormous potential in NLP. However, a number of problems persist in ICL. In particular, its performance is sensitive to the choice and or
Externí odkaz:
http://arxiv.org/abs/2402.11447
Autor:
Xu, Zhichao, Jiang, Jiepu
Empathy is critical for effective and satisfactory conversational communication. Prior efforts to measure conversational empathy mostly focus on expressed communicative intents -- that is, the way empathy is expressed. Yet, these works ignore the fac
Externí odkaz:
http://arxiv.org/abs/2402.11409
Autor:
Xu, Zhichao
Query-focused summarization (QFS) aims to provide a summary of a single document/multi documents that can satisfy the information needs of a given query. It is useful for various real-world applications, such as abstractive snippet generation or more
Externí odkaz:
http://arxiv.org/abs/2312.14335
Ranking systems are the key components of modern Information Retrieval (IR) applications, such as search engines and recommender systems. Besides the ranking relevance to users, the exposure fairness to item providers has also been considered an impo
Externí odkaz:
http://arxiv.org/abs/2305.16637
Autor:
Xu, Zhichao, Cohen, Daniel
Query-focused summarization (QFS) aims to provide a summary of a document that satisfies information need of a given query and is useful in various IR applications, such as abstractive snippet generation. Current QFS approaches typically involve inje
Externí odkaz:
http://arxiv.org/abs/2304.11721
Existing conversational search studies mainly focused on asking better clarifying questions and/or improving search result quality. These works aim at retrieving better responses according to the search context, and their performances are evaluated o
Externí odkaz:
http://arxiv.org/abs/2304.07988