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.AI2026
Extreme Low-Bit Inference in Reasoning Models: Failure Modes and Targeted Recovery
Ekaterina Alimaskina, Darya Rudas, Denis Shveykin +3
Large Reasoning Models (LRMs) rely on long reasoning traces, making inference expensive. While low-bit quantization reduces per-token decoding cost, we show that aggressive 2-bit i…