Tag: uncertainty estimation
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Improving Open-Set Text Classification with Uncertainty Estimation
Discover how uncertainty estimation enhances accuracy and reliability in open-set text classification systems using the HolUE method.
Evidential Deep Learning for Uncertainty in Aquatic AVs
Discover how Evidential Deep Learning improves uncertainty estimation and reconstruction accuracy in autonomous vehicles for aquatic disaster response.
When to Use LLMs in Language-Driven Bandit Problems
Discover when to apply Large Language Models in language-driven bandits with our diagnostic tool balancing accuracy and computational cost.
Reliable Truth-Aligned Uncertainty Estimation for LLMs
Enhance large language models' reliability with Truth AnChoring, a method for accurate truth-aligned uncertainty estimation and calibration.
Alignment Tax in LLMs: Impact on Response & Uncertainty
Explore how alignment tax causes response homogenization in LLMs and affects uncertainty estimation across benchmarks and model families.