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Found 10 papers, 3 papers with code
中文自然语言处理多任务中的职业性别偏见测量(Measurement of Occupational Gender Bias in Chinese Natural Language Processing Tasks)
“尽管悲观者认为, 职场中永远不可能存在性别平等。但随着人们观念的转变, 愈来愈多的人们相信, 职业的选择应只与个人能力相匹配, 而不应由个体的性别决定。目前已经发现自然语言处理的各个任务中都存在着职业性别偏见。但这些研究往往只针对特定的英文任务, 缺乏针对中文的、综合多任务的职业性别偏见测量研究。本文基于霍兰德职业模型, 从中文自然语言处理中常见的三个任务出发, 测量了词向量、共指消解和文本生成中的职业性别偏见, 发现不同任务中的职业性别偏见既有一定的共性, 又存在着独特的差异性。总体来看, 不同任务中的职业性别偏见反映了现实生活中人们对于不同性别所选择职业的刻板印象。此外, 在设计不同任务的偏见测量指标时, 还需要考虑如语体、词序等语言学要素的影响。”
Analysis of Gender Bias in Social Perception and Judgement Using Chinese Word Embeddings
The results reveal that these grammatical gender-neutral Chinese word embeddings show a certain gender bias, which is consistent with the mainstream society’s perception and judgment of gender.
PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models
Through an in-depth analysis of experimental results, we offer insights into the ability of LLMs to answer pediatric questions in the Chinese context, highlighting their limitations for further improvements.
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime
Our experiments reveal varying degrees of performance degradation among RL algorithms in the presence of noise and patient variability, with some algorithms failing to converge.
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
The advancement of large language models (LLMs) has enhanced the ability to generalize across a wide range of unseen natural language processing (NLP) tasks through instruction-following.
An Artificial Intelligence (AI) workflow for catalyst design and optimization
In this article, we demonstrate the application of this AI workflow in the optimization of catalyst synthesis for ammonia production.
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
(2) Domain adaptation and transfer learning enable AI models to be trained and applied across multiple domains.
Can autism be diagnosed with AI?
With AI, new radiomic models using the deep learning techniques will be also described.
A robust low data solution: dimension prediction of semiconductor nanorods
Deep neural network is further applied to develop regression model which demonstrated the well performed prediction on both the original and generated data with a similar distribution.
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties
Realizing general inverse design could greatly accelerate the discovery of new materials with user-defined properties.
