2 papers
cs.AI2026
Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA
Ekaterina Alimaskina, Denis Shveykin, Gleb Molodtsov +3
Language models are increasingly taught from synthetic question--answer (QA) supervision: a model generates questions about a document, answers them from the same text, and the res…
cs.CV2024
Tensor-Train Point Cloud Compression and Efficient Approximate Nearest-Neighbor Search
Georgii Novikov, Alexander Gneushev, Alexey Kadeishvili +1
Nearest-neighbor search in large vector databases is crucial for various machine learning applications. This paper introduces a novel method using tensor-train (TT) low-rank tensor…