Latest Articles for Calibration

This article discusses the effectiveness of MCQs in testing LLMs compared to long-form questions.

A new method enhances confidence scores for language models across specific topics.

QRIS analyzes Bennu samples to uncover secrets of early solar system and origins of life.

Introducing a method to improve Bayesian analysis efficiency in complex systems.

A new method enhances the reliability of neural network predictions.

Addressing hallucinations to enhance the reliability of language models.

A method to improve estimates from non-probability samples using calibration.

A method to improve language model performance across diverse languages during compression.

Using near-infrared light improves distance measurements to nearby galaxies.

Exploring the role of randomized measurements in advancing quantum technologies.

New NbN probes improve thermal measurement accuracy at nanoscale.

The Simons Observatory aims to study the cosmic microwave background while addressing key measurement challenges.

A new method enhances the reliability of neural network predictions in regression tasks.

A new method for accurate surface measurement in optics.

A new framework improves robot safety and navigation in unknown environments.

Kermut improves protein variant prediction accuracy by addressing uncertainties in outcomes.

A new calibration method enhances precision in 4D STEM imaging.

A new approach for agent-based modeling safeguards individual privacy while maintaining data accuracy.

This article discusses how to improve acoustic tweezers through better calibration techniques.

A look at how blood flow models aid in heart disease treatment.

Exploring the polarimetric PHASR Scanner's potential in medical and industrial fields.

New methods improve signal capture and data interpretation in radio astronomy.

Researchers present a new technique to improve X-ray data analysis for space missions.

Assessing the reliability of AI-produced summaries for improved software maintenance.

Researchers develop methods to improve calibration of black hole and galaxy models.

A new calibration method enhances AR integration in surgical procedures.

A new calibration strategy improves modeling of salt rock for hydrogen storage.

Research develops models to predict outcomes for kidney transplants using extensive data.

Multicalibration enhances LLM accuracy by refining confidence scores and addressing hallucinations.

A new method simplifies 3D motion capture using automated camera calibration.

A new method enhances image classification accuracy by focusing on context.

Learn how to make better predictions and decisions by minimizing swap regret.

LoRA-Ensemble combines models for better predictions and uncertainty management.

Timepix4 chip improves timing resolution for particle detection in various fields.

Combining generative models and maximum likelihood estimation enhances detector calibration precision.

Investigating LoRA's effects on fairness across different groups in machine learning.

Researchers use phase-field modeling to predict how materials fracture under stress.

This article discusses essential calibration methods for object detectors in critical applications.

A practical approach to measure drift velocity using Geometry Reference Chamber in TPCs.

A precision system for calibrating sensors in dark matter and quantum computing research.