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cs.CL2025
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.CV2025
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…