Zobrazeno 1 - 10
of 7 681
pro vyhledávání: '"P, Korhonen"'
Disagreement in human labeling is ubiquitous, and can be captured in human judgment distributions (HJDs). Recent research has shown that explanations provide valuable information for understanding human label variation (HLV) and large language models
Externí odkaz:
http://arxiv.org/abs/2412.13942
Autor:
Mróz, M. J., Poleski, R., Udalski, A., Sumi, T., Tsapras, Y., Hundertmark, M., Pietrukowicz, P., Szymański, M. K., Skowron, J., Mróz, P., Gromadzki, M., Iwanek, P., Kozłowski, S., Ratajczak, M., Rybicki, K. A., Skowron, D. M., Soszyński, I., Ulaczyk, K., Wrona, M., Abe, F., Bando, K., Bennett, D. P., Bhattacharya, A., Bond, I. A., Fukui, A., Hamada, R., Hamada, S., Hamasaki, N., Hirao, Y., Silva, S. Ishitani, Itow, Y., Koshimoto, N., Matsubara, Y., Miyazaki, S., Muraki, Y., Nagai, T., Nunota, K., Olmschenk, G., Ranc, C., Rattenbury, N. J., Satoh, Y., Suzuki, D., Terry, S. K., Tristram, P. J., Vandorou, A., Yama, H., Street, R. A., Bachelet, E., Dominik, M., Cassan, A., Jaimes, R. Figuera, Horne, K., Schmidt, R., Snodgrass, C., Wambsganss, J., Steele, I. A., Menzies, J., Jørgensen, U. G., Longa-Peña, P., Peixinho, N., Skottfelt, J., Southworth, J., Andersen, M. I., Bozza, V., Burgdorf, M. J., D'Ago, G., Hinse, T. C., Kerins, E., Korhonen, H., Küffmeier, M., Mancini, L., Rabus, M., Rahvar, S.
We present a comprehensive analysis of a planetary microlensing event OGLE-2015-BLG-1609. The planetary anomaly was detected by two survey telescopes, OGLE and MOA. Each of these surveys collected enough data over the planetary anomaly to allow for a
Externí odkaz:
http://arxiv.org/abs/2412.09676
Autor:
Tan, Chengliang, Korhonen, Risto
In this paper, an Askey-Wilson version of the Wronskian-Casorati determinant $\mathcal{W}(f_{0}, \dots, f_{n})(x)$ for meromorphic functions $f_{0}, \dots, f_{n}$ is introduced to establish an Askey-Wilson version of the general form of the Second Ma
Externí odkaz:
http://arxiv.org/abs/2412.08510
As LLMs are increasingly integrated into user-facing applications, addressing biases that perpetuate societal inequalities is crucial. While much work has gone into measuring or mitigating biases in these models, fewer studies have investigated their
Externí odkaz:
http://arxiv.org/abs/2411.19240
Autor:
Korhonen, Tuukka
We present $k^{O(k^2)} m$ time algorithms for various problems about decomposing a given undirected graph by edge cuts or vertex separators of size $
Externí odkaz:
http://arxiv.org/abs/2411.02658
In 1985, W.K.Hayman (Bayer. Akad. Wiss. Math.-Natur. Kl. Sitzungsber, 1984(1985), 1-13.) proved that there do not exist non-constant meromorphic functions $f,$ $g$ and $h$ satisfying the functional equation $f^n+g^n+h^n=1$ for $n\geq 9.$ We prove tha
Externí odkaz:
http://arxiv.org/abs/2411.01509
Autor:
Bentert, Matthias, Fomin, Fedor V., Golovach, Petr A., Korhonen, Tuukka, Lochet, William, Panolan, Fahad, Ramanujan, M. S., Saurabh, Saket, Simonov, Kirill
Cycle packing is a fundamental problem in optimization, graph theory, and algorithms. Motivated by recent advancements in finding vertex-disjoint paths between a specified set of vertices that either minimize the total length of the paths [Bj\"orklun
Externí odkaz:
http://arxiv.org/abs/2410.18878
In the Hedge Cut problem, the edges of a graph are partitioned into groups called hedges, and the question is what is the minimum number of hedges to delete to disconnect the graph. Ghaffari, Karger, and Panigrahi [SODA 2017] showed that Hedge Cut ca
Externí odkaz:
http://arxiv.org/abs/2410.17641
The properties of functional brain networks are heavily influenced by how the network nodes are defined. A common approach uses Regions of Interest (ROIs), which are predetermined collections of fMRI measurement voxels, as network nodes. Their defini
Externí odkaz:
http://arxiv.org/abs/2410.05972
Autor:
Korhonen, Mikko
Let $G$ be the finite simple group of Lie type $G = E_7(q)$, where $q$ is an odd prime power. Then $G$ is an index $2$ subgroup of the adjoint group $G_{\operatorname{ad}}$, which is also denoted by $G_{\operatorname{ad}} = \operatorname{Inndiag}(G)$
Externí odkaz:
http://arxiv.org/abs/2409.20281