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pro vyhledávání: '"Piccardi, P"'
Autor:
Piccardi, Carlo
With the impressive growth of network models in practically every scientific and technological area, we are often faced with the need to compare graphs, i.e., to quantify their (dis)similarity using appropriate metrics. This is necessary, for example
Externí odkaz:
http://arxiv.org/abs/2410.03252
Autor:
Piccardi, Tiziano, Saveski, Martin, Jia, Chenyan, Hancock, Jeffrey, Tsai, Jeanne L., Bernstein, Michael S.
Social media plays a central role in shaping public opinion and behavior, yet performing experiments on these platforms and, in particular, on feed algorithms is becoming increasingly challenging. This article offers practical recommendations to rese
Externí odkaz:
http://arxiv.org/abs/2406.19571
Text classifiers are vulnerable to adversarial examples -- correctly-classified examples that are deliberately transformed to be misclassified while satisfying acceptability constraints. The conventional approach to finding adversarial examples is to
Externí odkaz:
http://arxiv.org/abs/2405.11904
Machine translation for Vietnamese-English in the medical domain is still an under-explored research area. In this paper, we introduce MedEV -- a high-quality Vietnamese-English parallel dataset constructed specifically for the medical domain, compri
Externí odkaz:
http://arxiv.org/abs/2403.19161
Cross-lingual summarization (XLS) generates summaries in a language different from that of the input documents (e.g., English to Spanish), allowing speakers of the target language to gain a concise view of their content. In the present day, the predo
Externí odkaz:
http://arxiv.org/abs/2403.13240
Anthropomorphism, or the attribution of human-like characteristics to non-human entities, has shaped conversations about the impacts and possibilities of technology. We present AnthroScore, an automatic metric of implicit anthropomorphism in language
Externí odkaz:
http://arxiv.org/abs/2402.02056
Recent work has aimed to capture nuances of human behavior by using LLMs to simulate responses from particular demographics in settings like social science experiments and public opinion surveys. However, there are currently no established ways to di
Externí odkaz:
http://arxiv.org/abs/2310.11501
Science is facing a reproducibility crisis. Previous work has proposed incorporating data analysis replications into classrooms as a potential solution. However, despite the potential benefits, it is unclear whether this approach is feasible, and if
Externí odkaz:
http://arxiv.org/abs/2308.16491
Cross-lingual text classification leverages text classifiers trained in a high-resource language to perform text classification in other languages with no or minimal fine-tuning (zero/few-shots cross-lingual transfer). Nowadays, cross-lingual text cl
Externí odkaz:
http://arxiv.org/abs/2306.04996
Wikipedia, in its role as the world's largest encyclopedia, serves a broad range of information needs. Although previous studies have noted that Wikipedia users' information needs vary throughout the day, there is to date no large-scale, quantitative
Externí odkaz:
http://arxiv.org/abs/2305.09497