Picture for Evgenii Tsymbalov

Evgenii Tsymbalov

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

Add code
Mar 07, 2024
Figure 1 for Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
Figure 2 for Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
Figure 3 for Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
Figure 4 for Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
Viaarxiv icon

ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change

Add code
Jan 17, 2024
Viaarxiv icon

Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles

Add code
Mar 06, 2020
Figure 1 for Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles
Figure 2 for Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles
Figure 3 for Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles
Figure 4 for Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles
Viaarxiv icon

Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning

Add code
Feb 27, 2019
Figure 1 for Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
Figure 2 for Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
Figure 3 for Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
Figure 4 for Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
Viaarxiv icon

Dropout-based Active Learning for Regression

Add code
Jul 05, 2018
Figure 1 for Dropout-based Active Learning for Regression
Figure 2 for Dropout-based Active Learning for Regression
Figure 3 for Dropout-based Active Learning for Regression
Figure 4 for Dropout-based Active Learning for Regression
Viaarxiv icon