4 papers
On the Reliability of Networks of AI Agents: Density Evolution, Stopping Sets, and Architecture Optimization
Ehsan Aghazadeh, Hossein Pishro-Nik
Modern AI systems increasingly solve a task not with a single model call but with several imperfect agents working together: some propose pieces of a solution, others verify them,…
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)…
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…
A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models
Liqiang Jing, Guiming Hardy Chen, Ehsan Aghazadeh +2
Large Vision-Language Models (LVLMs) demonstrate remarkable capabilities in multimodal tasks, but visual object hallucination remains a persistent issue. It refers to scenarios whe…