Papers by Sergey Senichev

1 papers
ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning (2026.acl-demo)

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Challenge: Existing TTC scaling strategies and reasoning scorers are fragmented and evaluated under inconsistent protocols.
Approach: They propose a framework for seamless test-time compute scaling of large language model reasoning . they use a modular Python library to implement state-of-the-art scaling strategy and scorer families .
Outcome: The proposed framework evaluates performance and computational efficiency on mathematical and coding tasks.

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