Reliable Fusion of Conflicting Experts

arXiv:2609.27913 · cs.LG · Submitted 2026-08-21 · Read on arXiv

cs.LG

Submitted: 2026-08-21

Updated: 2026-08-21

Terminology

• Probabilistic Circuit — 13× in this paper
• Calibration — 9× in this paper · explained in 7 episodes
• Multimodal Fusion — 5× in this paper · explained in 3 episodes
• Weighted Mean — 5× in this paper
• Conditional Probabilistic Circuit — 4× in this paper
• Accuracy — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Expected Calibration Error — 3× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Random Expert Selection — 2× in this paper
• Single-Oracle Expert — 2× in this paper
• Artificial Intelligence and Dynamic Data-Driven Application Systems — 1× in this paper
• Credibility Weighted Mean — 1× in this paper
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Mixture-of-Experts (MoE) — 1× in this paper · explained in 7 episodes
• Mixture-of-Experts (MoE) Models — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 5 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes

Sources

• ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

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