conftrace_

probability estimation

48 papers

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Co-occurring keywords

loss function (462) large language model (13587) deep neural network (1803) language model (4599) confidence calibration (183) uncertainty quantification (1393) statistical learning (351) multi-class classification (280) markov chain (207) class probability estimation (8)

Papers

Estimating LLM Consistency: A User Baseline vs Surrogate Metrics EMNLP 2025
Minimal Pair-Based Evaluation of Code-Switching ACL 2025
StoC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering NAACL 2025
Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations NAACL 2025
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024
Towards Calibrated Multi-label Deep Neural Networks CVPR 2024
Pareto Optimal Learning for Estimating Large Language Model Errors ACL 2024
Where is the signal in tokenization space? EMNLP 2024
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models EMNLP 2024
Do Neural Language Models Inferentially Compose Concepts the Way Humans Can? COLING 2024
UMB: Understanding Model Behavior for Open-World Object Detection NIPS 2024
TCE: A Test-Based Approach to Measuring Calibration Error UAI 2023
The Geometry and Calculus of Losses JMLR 2023
Probing neural language models for understanding of words of estimative probability ACL 2023
Deep Probability Estimation ICML 2022
Stop Measuring Calibration When Humans Disagree EMNLP 2022
Calibration of Machine Reading Systems at Scale ACL 2022
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective CVPR 2021
Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation AISTATS 2021
A statistical perspective on distillation ICML 2021
Random Forests for Opponent Hand Estimation in Gin Rummy AAAI 2021
Iterative Connecting Probability Estimation for Networks NIPS 2021
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks NIPS 2019
$β^3$-IRT: A New Item Response Model and its Applications AISTATS 2019
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering AAAI 2019