Entropy-preserving reinforcement learning
Aleksei Petrenko · Ben Lipkin · Kevin Chen · Erik Wijmans · Marco Cusumano-Towner · Raja Giryes · Philipp Krähenbühl
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Aleksei Petrenko · Ben Lipkin · Kevin Chen · Erik Wijmans · Marco Cusumano-Towner · Raja Giryes · Philipp Krähenbühl
Moshe Kimhi · Nimrod Shabtay · Raja Giryes · Chaim Baskin · Eli Schwartz
Large vision–language models (VLMs) commonly process images at native or high resolution to remain effective across tasks. This inflates visual tokens to 97-99% of total tokens, resulting in high compute and latency, even when low-resolution images would suffice. We introduce CARES —a C ontext- A...
Morris Alper · Moran Yanuka · Raja Giryes · Gasper Begus
Constructed languages (conlangs) such as Esperanto and Quenya have played diverse roles in art, philosophy, and international communication. Meanwhile, foundation models have revolutionized creative generation in text, images, and beyond. In this work, we leverage modern LLMs as computational cre...
Gal Metzer · Sagi Polaczek · Ali Mahdavi Amiri · Raja Giryes · Daniel Cohen-or