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pro vyhledávání: '"Ruchira"'
Knowledge claims are abundant in the literature on large language models (LLMs); but can we say that GPT-4 truly "knows" the Earth is round? To address this question, we review standard definitions of knowledge in epistemology and we formalize interp
Externí odkaz:
http://arxiv.org/abs/2410.02499
Publikováno v:
Ace Analyser: Company News. 11/4/2024, pN.PAG-N.PAG. 1p.
Autor:
Ray, Ruchira, Dey, Bibaswan
Atherosclerosis, a chronic inflammatory cardiovascular disease, leads to arterial constriction caused by the accumulation of lipids, cholesterol, and various substances within artery walls. Such plaque can rupture, resulting in a blood clot that obst
Externí odkaz:
http://arxiv.org/abs/2408.03117
Autor:
Dhar, Ruchira, Søgaard, Anders
Large language models (LLMs) are very performant connectionist systems, but do they exhibit more compositionality? More importantly, is that part of why they perform so well? We present empirical analyses across four LLM families (12 models) and thre
Externí odkaz:
http://arxiv.org/abs/2407.13419
Publikováno v:
Information Systems Security: 14th International Conference, ICISS 2018, Bangalore, India, December 17-19, 2018, Proceedings. Vol. 11281. Springer, 2018
In this work, we deal with the problem of re compression based image forgery detection, where some regions of an image are modified illegitimately, hence giving rise to presence of dual compression characteristics within a single image. There have be
Externí odkaz:
http://arxiv.org/abs/2407.02942
Trafficking Sex: Politics, Policy, Personhood : A Conversation with Gloria Steinem and Ruchira Gupta
Publikováno v:
Meridians: feminism, race, transnationalism, 2014 Jan 01. 12(1), 172-200.
Externí odkaz:
https://www.jstor.org/stable/10.2979/meridians.12.1.172
Publikováno v:
Ace Analyser: Company News. 9/2/2024, pN.PAG-N.PAG. 1p.
Publikováno v:
Ace Analyser: Company News. 9/2/2024, pN.PAG-N.PAG. 1p.
Publikováno v:
Ace Analyser: Company News. 7/19/2024, pN.PAG-N.PAG. 1p.
Autor:
Ray, Ruchira, Bhalani, Ruchi
As the popularity of Large Language Models (LLMs) grow, combining model safety with utility becomes increasingly important. The challenge is making sure that LLMs can recognize and decline dangerous prompts without sacrificing their ability to be hel
Externí odkaz:
http://arxiv.org/abs/2405.05418