2 papers
eess.SY2026
Forecast-Ensemble-Based Active Binary-Threshold Query Design for Interval Data Assimilation
Wataru Hashimoto, Kazumune Hashimoto, Haru Kuroki
Data assimilation estimates the evolving state of a dynamical system by combining model forecasts with observations. While many conventional methods assume point-valued measurement…
cs.LG2025
Test-time reward-guided alignment of language models by importance sampling on pre-logit space
Sekitoshi Kanai, Tsukasa Yoshida, Hiroshi Takahashi +2
Test-time alignment of large language models (LLMs) attracts attention because fine-tuning of LLMs requires high computational costs. In this paper, we propose a new test-time rewa…