@InProceedings{chawin_et_al:LIPIcs.STACS.2023.20,
  author =	{Chawin, Dror and Haviv, Ishay},
  title =	{{Improved NP-Hardness of Approximation for Orthogonality Dimension and Minrank}},
  booktitle =	{40th International Symposium on Theoretical Aspects of Computer Science (STACS 2023)},
  pages =	{20:1--20:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-266-2},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{254},
  editor =	{Berenbrink, Petra and Bouyer, Patricia and Dawar, Anuj and Kant\'{e}, Mamadou Moustapha},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2023.20},
  URN =		{urn:nbn:de:0030-drops-176724},
  doi =		{10.4230/LIPIcs.STACS.2023.20},
  annote =	{Keywords: hardness of approximation, graph coloring, orthogonality dimension, minrank, index coding}
}