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pro vyhledávání: '"Govil, Priyanshul"'
Autor:
Govil, Priyanshul, Jain, Hemang, Bonagiri, Vamshi Krishna, Chadha, Aman, Kumaraguru, Ponnurangam, Gaur, Manas, Dey, Sanorita
Large Language Models (LLMs) often inherit biases from the web data they are trained on, which contains stereotypes and prejudices. Current methods for evaluating and mitigating these biases rely on bias-benchmark datasets. These benchmarks measure b
Externí odkaz:
http://arxiv.org/abs/2402.14889
Autor:
Bonagiri, Vamshi Krishna, Vennam, Sreeram, Govil, Priyanshul, Kumaraguru, Ponnurangam, Gaur, Manas
Despite recent advancements showcasing the impressive capabilities of Large Language Models (LLMs) in conversational systems, we show that even state-of-the-art LLMs are morally inconsistent in their generations, questioning their reliability (and tr
Externí odkaz:
http://arxiv.org/abs/2402.13709
Autor:
Raj, Kanak, Roy, Kaushik, Bonagiri, Vamshi, Govil, Priyanshul, Thirunarayanan, Krishnaprasad, Gaur, Manas
Personalizing conversational agents can enhance the quality of conversations and increase user engagement. However, they often lack external knowledge to appropriately tend to a user's persona. This is particularly crucial for practical applications
Externí odkaz:
http://arxiv.org/abs/2312.17748