Zobrazeno 1 - 10
of 239
pro vyhledávání: '"ARAM, H."'
Autor:
Cummins, Chris, Seeker, Volker, Armengol-Estapé, Jordi, Markosyan, Aram H., Synnaeve, Gabriel, Leather, Hugh
Tools for rewriting, refactoring and optimizing code should be fast and correct. Large language models (LLMs), by their nature, possess neither of these qualities. Yet, there remains tremendous opportunity in using LLMs to improve code. We explore th
Externí odkaz:
http://arxiv.org/abs/2410.08806
Autor:
Samvelyan, Mikayel, Raparthy, Sharath Chandra, Lupu, Andrei, Hambro, Eric, Markosyan, Aram H., Bhatt, Manish, Mao, Yuning, Jiang, Minqi, Parker-Holder, Jack, Foerster, Jakob, Rocktäschel, Tim, Raileanu, Roberta
As large language models (LLMs) become increasingly prevalent across many real-world applications, understanding and enhancing their robustness to adversarial attacks is of paramount importance. Existing methods for identifying adversarial prompts te
Externí odkaz:
http://arxiv.org/abs/2402.16822
A \emph{$2$-partition of a graph $G$} is a function $f:V(G)\rightarrow \{0,1\}$. A $2$-partition $f$ of a graph $G$ is a \emph{locally-balanced with an open neighborhood} if for every $v\in V(G)$, $$\left\vert \vert \{u\in N_{G}(v)\colon\,f(u)=0\}\ve
Externí odkaz:
http://arxiv.org/abs/2401.15490
Captum is a comprehensive library for model explainability in PyTorch, offering a range of methods from the interpretability literature to enhance users' understanding of PyTorch models. In this paper, we introduce new features in Captum that are spe
Externí odkaz:
http://arxiv.org/abs/2312.05491
Neural networks employ spurious correlations in their predictions, resulting in decreased performance when these correlations do not hold. Recent works suggest fixing pretrained representations and training a classification head that does not use spu
Externí odkaz:
http://arxiv.org/abs/2306.12673
Autor:
Kottur, Satwik, Moon, Seungwhan, Markosyan, Aram H., Shah, Hardik, Damavandi, Babak, Geramifard, Alborz
People capture photos and videos to relive and share memories of personal significance. Recently, media montages (stories) have become a popular mode of sharing these memories due to their intuitive and powerful storytelling capabilities. However, cr
Externí odkaz:
http://arxiv.org/abs/2211.03940
Despite their wide adoption, the underlying training and memorization dynamics of very large language models is not well understood. We empirically study exact memorization in causal and masked language modeling, across model sizes and throughout the
Externí odkaz:
http://arxiv.org/abs/2205.10770
Publikováno v:
Cihan University-Erbil Journal of Humanities and Social Sciences, Vol 8, Iss 1 (2024)
This review article examines artificial intelligence (AI)’s role in strategic marketing decision-making. The researchers interviewed experts with experience in decision-making and used Carrefour Iraq as a case study to identify themes on how humans
Externí odkaz:
https://doaj.org/article/4799c67d961a4efeac8e95ded7926137
Autor:
Aram H. Massoudi
Publikováno v:
UKH Journal of Social Sciences, Vol 7, Iss 1, Pp 8-19 (2023)
Nepotism is considered an ugly feature of corruption and is currently one of the most common plagues in the Syrian economy. The infestation of nepotism in public sector organizations is causing a major setback to the much-needed growth
Externí odkaz:
https://doaj.org/article/9695b845a69f466bb261bc6ba834775c
Autor:
Massoudi, Aram H.1, Fatah, Sahar J.1, Jami, Mohammed S.1 mohammed.jami@cihanuniversity.edu.iq
Publikováno v:
Cihan University-Erbil Journal of Humanities & Social Sciences. 2024, Vol. 8 Issue 1, p34-39. 6p.