作者位次 #2/6NeurIPS 2026Poster
Uncertainty Quantification for Large Language Diffusion Models
Artem Vazhentsev · Vladislav Smirnov · David Li · Maxim Panov · Timothy Baldwin · Artem Shelmanov
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Artem Vazhentsev · Vladislav Smirnov · David Li · Maxim Panov · Timothy Baldwin · Artem Shelmanov
Vladislav Smirnov · Quang-Chieu Nguyen · Sergey Senichev · Minh Ngoc Ta · Ekaterina Fadeeva · Artem Vazhentsev · Daria Galimzianova · Nikolai Rozanov · Viktor Mazanov · Jingwei Ni · Tianyi Wu · Igor Kiselev · Mrinmaya Sachan · Iryna Gurevych · Preslav Nakov · Timothy Baldwin · Artem Shelmanov
Test-time compute (TTC) scaling has emerged as a powerful paradigm for improving large language model (LLM) reasoning by allocating additional compute during inference, e.g., via multi-sample generation and verifier-based reranking. Existing TTC scaling strategies and reasoning scorers remain fra...