Zobrazeno 1 - 2
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pro vyhledávání: '"Belavadi, Vibha"'
Autor:
Sultania, Dewang, Lu, Zhaoyu, Naik, Twisha, Dernoncourt, Franck, Yoon, David Seunghyun, Sharma, Sanat, Bui, Trung, Gupta, Ashok, Vatsa, Tushar, Suresha, Suhas, Verma, Ishita, Belavadi, Vibha, Chen, Cheng, Friedrich, Michael
Domain specific question answering is an evolving field that requires specialized solutions to address unique challenges. In this paper, we show that a hybrid approach combining a fine-tuned dense retriever with keyword based sparse search methods si
Externí odkaz:
http://arxiv.org/abs/2412.03736
As machine learning (ML) techniques are being increasingly used in many applications, their vulnerability to adversarial attacks becomes well-known. Test time attacks, usually launched by adding adversarial noise to test instances, have been shown ef
Externí odkaz:
http://arxiv.org/abs/2110.10287