2 papers
cs.CL2026
CGES: Confidence-Guided Early Stopping for Efficient and Accurate Self-Consistency
Ehsan Aghazadeh, Ahmad Ghasemi, Hedyeh Beyhaghi +1
Large language models (LLMs) are often queried multiple times at test time, with predictions aggregated by majority vote. While effective, this self-consistency (Wang et al., 2023)…
cs.LG2026
Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching
Ehsan Aghazadeh, Masoud Malekzadeh, Ahmad Ghasemi +1
Designing continuous trajectories whose time-averaged occupancy provably matches a prescribed spatial density (the \emph{ergodic coverage} problem) is central to UAV-assisted data…