Thermometer: Towards Universal Calibration for Large Language Models
- Maohao Shen
- Subhro Das
- et al.
- 2024
- ICML 2024
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75 results for Uncertainty Quantification
Risk Aware Benchmarking of Large Language Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2024
- ICML 2024
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
- Natalia Martinez Gil
- Dhaval Patel
- et al.
- 2024
- UAI 2024
Quantifying Representation Reliability in Self-Supervised Learning Models
- Young Jin Park
- Hao Wang
- et al.
- 2024
- UAI 2024
Group Fairness with Uncertain Sensitive Attributes
- Abhin Shah
- Maohao Shen
- et al.
- 2024
- ISIT 2024
Uncertainty Quantification via Stable Distribution Propagation
- Felix Petersen
- Aashwin Mishra
- et al.
- 2024
- ICLR 2024
Adaptive Conformal Regression with Split-Jackknife+ Scores
- Nicolas Deutschmann
- Mattia Rigotti
- et al.
- 2024
- TMLR
Forecasting adversarial actions using judgment decomposition-recomposition
- Yolanda Gomez
- Jesus Rios Aliaga
- et al.
- 2024
- International Journal of Forecasting
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
- Nicolas Deutschmann
- Marvin Alberts
- et al.
- 2024
- AAAI 2024
MC Layer Normalization for calibrated uncertainty in Deep Learning
- Thomas Frick
- Diego Antognini
- et al.
- 2024
- TMLR