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cs.CL2026
NuclearQAv2: A Structured Benchmark for Evaluating Domain-Science Competence in Large Language Models
Henry Shaowu Yuchi, Michal Kucer, Benjamin H. Sims +2
Large language models (LLMs) have demonstrated strong performance across a wide range of tasks, but ensuring their reliability in highly technical domains remains a significant cha…
cs.LG2026
Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences
Sweta Karlekar, Carolina Zheng, Magnus Saebo +5
Many applications seek to optimize LLM outputs at test time by iteratively proposing, scoring, and refining candidates over a discrete output space. Existing methods use a calibrat…