Results 171 to 180 of about 132,085 (327)

UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers [PDF]

arXiv
Gene studies are crucial for fields such as protein structure prediction, drug discovery, and cancer genomics, yet they face challenges in fully utilizing the vast and diverse information available. Gene studies require clean, factual datasets to ensure reliable results. Ontology graphs, neatly organized domain terminology graphs, provide ideal sources
arxiv  

Do Formal Stance Strategies Reveal Disciplinary Variation in Professional Scientific Writing?

International Journal of Applied Linguistics, EarlyView.
ABSTRACT Stance in academic discourse has been extensively studied, with numerous investigations indicating that its expression varies across disciplines, depending on the authors’ intention to either enhance or diminish their voice or presence (e.g., It seems fairly certain vs. This is based on the belief that…).
Elizaveta A. Smirnova, Javier Pérez‐Guerra   +1 more
wiley   +1 more source

4bit-Quantization in Vector-Embedding for RAG [PDF]

arXiv
Retrieval-augmented generation (RAG) is a promising technique that has shown great potential in addressing some of the limitations of large language models (LLMs). LLMs have two major limitations: they can contain outdated information due to their training data, and they can generate factually inaccurate responses, a phenomenon known as hallucinations.
arxiv  

Chinese Verb Frames in Primary Education: From Basic Communication to Cognitive Complexity

International Journal of Applied Linguistics, EarlyView.
ABSTRACT This article investigates text complexity in Chinese‐language textbooks for primary school students (Grades 1 to 6) in Hong Kong. Our analysis, based on verb frames in Mandarin VerbNet, shows a developmental shift in the linguistic input in first language (L1) education: Students begin with a focus on core frame elements in lower grades and ...
Tianyuan Cai, Meichun Liu, John Sie Yuen Lee   +2 more
wiley   +1 more source

Design and Transferability of a Digital Training to Improve Generic and Domain‐Specific Critical Online Reasoning

International Journal of Training and Development, EarlyView.
ABSTRACT The Internet has become the main information source of graduates, trainees and young professionals, who use online information to base their professional decisions and actions. However, trainees often perform poorly when it comes to correctly evaluating the credibility of online media and critically dealing with online information, which can ...
Anika Kohmer, Olga Zlatkin‐Troitschanskaia, Jennifer Fischer, Marie‐Theres Nagel   +3 more
wiley   +1 more source

Construction of Factual Database on Various Properties of Amorphous Alloys

, 2003
上野 明, 境田 彰芳, 松岡 政夫, 酒井 孝, 岡田 憲司, 原田 幸明, 芳須 弘, 菊地 諄一, 酒井 達雄   +8 more
openalex   +2 more sources

Inclusion of Autistic IT Workforce in Action: An Auticon Approach

Information Systems Journal, EarlyView.
ABSTRACT This paper examines the IT workforce management practices of auticon, a pioneering international IT consultancy firm from Germany that employs autistic individuals as its core workforce to deliver economically and socially sustainable IT services.
Olga Abramova, Jan Recker, Ursula Schemm, Lukas‐Daniel Barwitzki   +3 more
wiley   +1 more source

Effects of product online reviews on product returns: a review and classification of the literature

International Transactions in Operational Research, EarlyView.
Abstract Product returns pose a significant challenge for online retailers, primarily due to consumer uncertainty, both before and after the purchase. These uncertainties may stem from factors such as the absence of a “touch and feel” experience, mismatched product expectations, or post‐purchase regret, where consumers change their minds.
Yun Wang, Bo Yu, Jing Chen
wiley   +1 more source

BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science [PDF]

arXiv
Pursuing artificial intelligence for biomedical science, a.k.a. AI Scientist, draws increasing attention, where one common approach is to build a copilot agent driven by Large Language Models (LLMs). However, to evaluate such systems, people either rely on direct Question-Answering (QA) to the LLM itself, or in a biomedical experimental manner.
arxiv  

WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs [PDF]

arXiv
Large Language Models (LLMs) have greatly contributed to the development of adaptive intelligent agents and are positioned as an important way to achieve Artificial General Intelligence (AGI). However, LLMs are prone to produce factually incorrect information and often produce "phantom" content that undermines their reliability, which poses a serious ...
arxiv