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cs.SE2026
Improving Small Language Models for Code Generation with Reinforcement Learning from Verification Feedback
Egor Skopin, Evgeny Kotelnikov
Reinforcement learning with verifiable rewards (RLVR) trains language models using programmatically checkable signals such as unit-test outcomes, enabling direct optimization for f…
cs.CL2026
Can LLM Teams Play What? Where? When?
Anastasia Kotelnikova, Viktor Byzov, Maria Dolzhenkova +1
Large language models (LLMs) remain limited on tasks requiring indirect reasoning, cultural knowledge, and coordinated hypothesis testing. We investigate whether team-based interac…