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pro vyhledávání: '"Sonoda, Ryosuke"'
Autor:
Sonoda, Ryosuke, Srinivasan, Ramya
Large language models (LLMs) such as ChatGPT, GPT-4, Claude-3, and Llama are being integrated across a variety of industries. Despite this rapid proliferation, experts are calling for caution in the interpretation and adoption of LLMs, owing to numer
Externí odkaz:
http://arxiv.org/abs/2410.16640
Fairness is a growing concern for high-risk decision-making using Artificial Intelligence (AI) but ensuring it through purely technical means is challenging: there is no universally accepted fairness measure, fairness is context-dependent, and there
Externí odkaz:
http://arxiv.org/abs/2312.08064
Autor:
Sonoda, Ryosuke
Publikováno v:
Information Sciences, Volume 640, 2023, 119059, ISSN 0020-0255
Class imbalance and group (e.g., race, gender, and age) imbalance are acknowledged as two reasons in data that hinder the trade-off between fairness and utility of machine learning classifiers. Existing techniques have jointly addressed issues regard
Externí odkaz:
http://arxiv.org/abs/2305.13875
Autor:
Sonoda, Ryosuke
Fair ranking problems arise in many decision-making processes that often necessitate a trade-off between accuracy and fairness. Many existing studies have proposed correction methods such as adding fairness constraints to a ranking model's loss. Howe
Externí odkaz:
http://arxiv.org/abs/2110.15503