冒烟 发表于 2025-3-30 11:30:21

http://reply.papertrans.cn/17/1671/167092/167092_51.png

Prologue 发表于 2025-3-30 15:27:25

http://reply.papertrans.cn/17/1671/167092/167092_52.png

艰苦地移动 发表于 2025-3-30 19:21:25

,Hierarchical Multi-label Classification of Online Vaccine Concerns,entions a vaccine concern or not, works the best. Our results indicate that GPT-4 can strongly outperform crowdworker accuracy when compared to ground truth annotations provided by experts on the recently introduced VaxConcerns dataset, achieving an overall F1 score of ..

情感脆弱 发表于 2025-3-30 21:19:44

http://reply.papertrans.cn/17/1671/167092/167092_54.png

咽下 发表于 2025-3-31 03:33:50

http://reply.papertrans.cn/17/1671/167092/167092_55.png

Cryptic 发表于 2025-3-31 05:17:54

http://reply.papertrans.cn/17/1671/167092/167092_56.png

dithiolethione 发表于 2025-3-31 12:44:07

Ereignisorientierte Programmierung,but also improves learning performance in key metrics and minimizes the effect of annotation noise. This novel approach uses domain guidance to detect offending annotations and deter rule-violating predictions in a self-supervised manner, thus making it more “data efficient” and domain compliant.

Fluctuate 发表于 2025-3-31 15:43:08

Ereignisorientierte Programmierung,sess the LLM output, we propose ., ., ., ., and . as metrics. Our evaluation employs three health insurance policies (.) with increasing difficulty from Medicare’s official booklet. Our evaluation uses GPT-3.5 Turbo, GPT-3.5 Turbo 16K, GPT-4, GPT-4 Turbo and CodeLLaMA. Our findings confirm that LLMs

歌唱队 发表于 2025-3-31 18:13:57

http://reply.papertrans.cn/17/1671/167092/167092_59.png

BILL 发表于 2025-4-1 01:25:55

https://doi.org/10.1007/978-3-8348-9076-4n effectiveness. First, we build a knowledge bank of recorded patient-provider genetic counseling sessions and leverage an open-source LLM to extract and summarize relevant information. We leverage this knowledge bank to develop a retrieval-augmented system for answering patient questions. We find t
页: 1 2 3 4 5 [6] 7
查看完整版本: Titlebook: AI for Health Equity and Fairness; Leveraging AI to Add Arash Shaban-Nejad,Martin Michalowski,Simone Bianc Book 2024 The Editor(s) (if appl