Zobrazeno 1 - 10
of 1 307
pro vyhledávání: '"Stanovsky A."'
The task of image captioning has recently been gaining popularity, and with it the complex task of evaluating the quality of image captioning models. In this work, we present the first survey and taxonomy of over 70 different image captioning metrics
Externí odkaz:
http://arxiv.org/abs/2408.04909
Various tasks, such as summarization, multi-hop question answering, or coreference resolution, are naturally phrased over collections of real-world documents. Such tasks present a unique set of challenges, revolving around the lack of coherent narrat
Externí odkaz:
http://arxiv.org/abs/2406.16086
Few shot in-context learning (ICL) typically assumes access to large annotated training sets. However, in many real world scenarios, such as domain adaptation, there is only a limited budget to annotate a small number of samples, with the goal of max
Externí odkaz:
http://arxiv.org/abs/2406.13274
Most works on gender bias focus on intrinsic bias -- removing traces of information about a protected group from the model's internal representation. However, these works are often disconnected from the impact of such debiasing on downstream applicat
Externí odkaz:
http://arxiv.org/abs/2406.00787
Cross-domain alignment refers to the task of mapping a concept from one domain to another. For example, ``If a \textit{doctor} were a \textit{color}, what color would it be?''. This seemingly peculiar task is designed to investigate how people repres
Externí odkaz:
http://arxiv.org/abs/2405.14863
Autor:
Goldstein, Ariel, Stanovsky, Gabriel
Recent advances in LLMs have sparked a debate on whether they understand text. In this position paper, we argue that opponents in this debate hold different definitions for understanding, and particularly differ in their view on the role of conscious
Externí odkaz:
http://arxiv.org/abs/2403.00499
Document collections of various domains, e.g., legal, medical, or financial, often share some underlying collection-wide structure, which captures information that can aid both human users and structure-aware models. We propose to identify the typica
Externí odkaz:
http://arxiv.org/abs/2402.13906
Publikováno v:
Moscow University Bulletin. Series 4. Geology. :24-34
The geological position, morphology of serpentinite bodies, limitation by faults, the presence of surrounding metamorphites as enclosing strata fragments within the Stanovsky ophiolite complex, the nature of metamorphism, high deformation of rocks of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f350658ed06448e7b9ee132835926ff
https://doi.org/10.33623/0579-9406-2022-1-24-34
https://doi.org/10.33623/0579-9406-2022-1-24-34
Autor:
Cvrček, Milan, Stanovský, David
We classify primitive quandles with alternating displacement group. All of them are conjugation quandles, and the following is a complete list of the underlying conjugacy classes: transpositions in $S_n$ for $n=3$ and $n\geq5$; fixpoint-free involuti
Externí odkaz:
http://arxiv.org/abs/2401.15642
Autor:
Manes, Itay, Ronn, Naama, Cohen, David, Ber, Ran Ilan, Horowitz-Kugler, Zehavi, Stanovsky, Gabriel
Ensuring the accuracy of responses provided by large language models (LLMs) is crucial, particularly in clinical settings where incorrect information may directly impact patient health. To address this challenge, we construct K-QA, a dataset containi
Externí odkaz:
http://arxiv.org/abs/2401.14493