Saved in:
| Main Authors: | Chen, Chacha, Jörke, Matthew, Goliński, Adam, Fedzechkina, Masha, Sapiro, Guillermo, Williamson, Sinead, Foti, Nicholas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.06915 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs
by: Nakkiran, Preetum, et al.
Published: (2025)
by: Nakkiran, Preetum, et al.
Published: (2025)
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
by: Choudhury, Deepro, et al.
Published: (2025)
by: Choudhury, Deepro, et al.
Published: (2025)
Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models
by: Sundar, Anirudh, et al.
Published: (2025)
by: Sundar, Anirudh, et al.
Published: (2025)
SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
by: Kirchhof, Michael, et al.
Published: (2025)
by: Kirchhof, Michael, et al.
Published: (2025)
What do your logits know? (The answer may surprise you!)
by: Fedzechkina, Masha, et al.
Published: (2026)
by: Fedzechkina, Masha, et al.
Published: (2026)
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
by: Santilli, Andrea, et al.
Published: (2025)
by: Santilli, Andrea, et al.
Published: (2025)
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
by: Wu, Luhuan, et al.
Published: (2024)
by: Wu, Luhuan, et al.
Published: (2024)
Self-Supervised Learning with Gaussian Processes
by: Duan, Yunshan, et al.
Published: (2025)
by: Duan, Yunshan, et al.
Published: (2025)
ExpertLens: Activation steering features are highly interpretable
by: Fedzechkina, Masha, et al.
Published: (2025)
by: Fedzechkina, Masha, et al.
Published: (2025)
Do LLMs have core beliefs?
by: Sokol, Anna, et al.
Published: (2026)
by: Sokol, Anna, et al.
Published: (2026)
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
by: Erturk, Eray, et al.
Published: (2025)
by: Erturk, Eray, et al.
Published: (2025)
DSO: Direct Steering Optimization for Bias Mitigation
by: Paes, Lucas Monteiro, et al.
Published: (2025)
by: Paes, Lucas Monteiro, et al.
Published: (2025)
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
by: Wang, Yinong Oliver, et al.
Published: (2025)
by: Wang, Yinong Oliver, et al.
Published: (2025)
Conditional Bayesian Quadrature
by: Chen, Zonghao, et al.
Published: (2024)
by: Chen, Zonghao, et al.
Published: (2024)
On the consistency of supervised learning with missing values
by: Josse, Julie, et al.
Published: (2019)
by: Josse, Julie, et al.
Published: (2019)
Variable transformations in consistent loss functions
by: Tyralis, Hristos, et al.
Published: (2025)
by: Tyralis, Hristos, et al.
Published: (2025)
On consistent estimation of dimension values
by: Cholaquidis, Alejandro, et al.
Published: (2024)
by: Cholaquidis, Alejandro, et al.
Published: (2024)
ROCM: RLHF on consistency models
by: Shekhar, Shivanshu, et al.
Published: (2025)
by: Shekhar, Shivanshu, et al.
Published: (2025)
Clustering ensemble algorithm with high-order consistency learning
by: Gan, Jianwen, et al.
Published: (2024)
by: Gan, Jianwen, et al.
Published: (2024)
Flow map matching with stochastic interpolants: A mathematical framework for consistency models
by: Boffi, Nicholas M., et al.
Published: (2024)
by: Boffi, Nicholas M., et al.
Published: (2024)
Simple online learning with consistent oracle
by: Kozachinskiy, Alexander, et al.
Published: (2023)
by: Kozachinskiy, Alexander, et al.
Published: (2023)
Label-consistent clustering for evolving data
by: Gadekar, Ameet, et al.
Published: (2025)
by: Gadekar, Ameet, et al.
Published: (2025)
Adaptive Interventions with User-Defined Goals for Health Behavior Change
by: Mandyam, Aishwarya, et al.
Published: (2023)
by: Mandyam, Aishwarya, et al.
Published: (2023)
LLMs are Bayesian, In Expectation, Not in Realization
by: Chlon, Leon, et al.
Published: (2025)
by: Chlon, Leon, et al.
Published: (2025)
How to build a consistency model: Learning flow maps via self-distillation
by: Boffi, Nicholas M., et al.
Published: (2025)
by: Boffi, Nicholas M., et al.
Published: (2025)
Quantifying Data Contamination in Psychometric Evaluations of LLMs
by: Han, Jongwook, et al.
Published: (2025)
by: Han, Jongwook, et al.
Published: (2025)
SLIDE: a surrogate fairness constraint to ensure fairness consistency
by: Kim, Kunwoong, et al.
Published: (2022)
by: Kim, Kunwoong, et al.
Published: (2022)
Self-consistent Validation for Machine Learning Electronic Structure
by: Hu, Gengyuan, et al.
Published: (2024)
by: Hu, Gengyuan, et al.
Published: (2024)
Order-Aware Test-Time Adaptation: Leveraging Temporal Dynamics for Robust Streaming Inference
by: Kim, Young Kyung, et al.
Published: (2026)
by: Kim, Young Kyung, et al.
Published: (2026)
Position: agentic AI orchestration should be Bayes-consistent
by: Papamarkou, Theodore, et al.
Published: (2026)
by: Papamarkou, Theodore, et al.
Published: (2026)
Scalable Kernel-Based Distances for Statistical Inference and Integration
by: Naslidnyk, Masha
Published: (2026)
by: Naslidnyk, Masha
Published: (2026)
Quantifying Qualitative Insights: Leveraging LLMs to Market Predict
by: Lee, Hoyoung, et al.
Published: (2024)
by: Lee, Hoyoung, et al.
Published: (2024)
Quantifying Document Impact in RAG-LLMs
by: Gerami, Armin, et al.
Published: (2025)
by: Gerami, Armin, et al.
Published: (2025)
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter
by: Blaschke, Verena, et al.
Published: (2025)
by: Blaschke, Verena, et al.
Published: (2025)
Quantifying the Capabilities of LLMs across Scale and Precision
by: Badshah, Sher, et al.
Published: (2024)
by: Badshah, Sher, et al.
Published: (2024)
dotears: Scalable, consistent DAG estimation using observational and interventional data
by: Xue, Albert, et al.
Published: (2023)
by: Xue, Albert, et al.
Published: (2023)
Generating time-consistent dynamics with discriminator-guided image diffusion models
by: Hess, Philipp, et al.
Published: (2025)
by: Hess, Philipp, et al.
Published: (2025)
Wrist Photoplethysmography Predicts Dietary Information
by: Verrier, Kyle, et al.
Published: (2025)
by: Verrier, Kyle, et al.
Published: (2025)
Integrative Decoding: Improve Factuality via Implicit Self-consistency
by: Cheng, Yi, et al.
Published: (2024)
by: Cheng, Yi, et al.
Published: (2024)
Geometric Scaling of Bayesian Inference in LLMs
by: Agarwal, Naman, et al.
Published: (2025)
by: Agarwal, Naman, et al.
Published: (2025)
Similar Items
-
Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs
by: Nakkiran, Preetum, et al.
Published: (2025) -
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
by: Choudhury, Deepro, et al.
Published: (2025) -
Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models
by: Sundar, Anirudh, et al.
Published: (2025) -
SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
by: Kirchhof, Michael, et al.
Published: (2025) -
What do your logits know? (The answer may surprise you!)
by: Fedzechkina, Masha, et al.
Published: (2026)