Cover Image

Eliciting associations between clinical variables from LLMs via comparison questions across populations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kabus, Fabian, Kordtomeikel, Kian, Brox, Thomas, Wiendl, Heinz, Stolz, Daiana, Binder, Harald
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Embedding interpretable $\ell_1$-regression into neural networks for uncovering temporal structure in cell imaging
by: Kabus, Fabian, et al.
Published: (2026)

Contrasting Global and Patient-Specific Regression Models via a Neural Network Representation
by: Behrens, Max, et al.
Published: (2026)

Assessing Multimodal Chronic Wound Embeddings with Expert Triplet Agreement
by: Kabus, Fabian, et al.
Published: (2026)

Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
by: Stolz, Roland, et al.
Published: (2025)

SteerConf: Steering LLMs for Confidence Elicitation
by: Zhou, Ziang, et al.
Published: (2025)

Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models
by: Yamaoka, Kanta, et al.
Published: (2026)

Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer
by: Schrodi, Simon, et al.
Published: (2025)

Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
by: Piskorz, Julianna, et al.
Published: (2026)

Is Mamba Capable of In-Context Learning?
by: Grazzi, Riccardo, et al.
Published: (2024)

Pre-Training LLMs on a budget: A comparison of three optimizers
by: Schlotthauer, Joel, et al.
Published: (2025)

Can LLMs Assist Expert Elicitation for Probabilistic Causal Modeling?
by: Shaposhnyk, Olha, et al.
Published: (2025)

When and How Does CLIP Enable Domain and Compositional Generalization?
by: Kempf, Elias, et al.
Published: (2025)

Concept Bottleneck Models Without Predefined Concepts
by: Schrodi, Simon, et al.
Published: (2024)

Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)

Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy
by: Ging, Simon, et al.
Published: (2024)

Simple LLM Baselines are Competitive for Model Diffing
by: Kempf, Elias, et al.
Published: (2026)

PC-MoE: Memory-Efficient and Privacy-Preserving Collaborative Training for Mixture-of-Experts LLMs
by: Zhang, Ze Yu, et al.
Published: (2025)

The Elicitation Game: Evaluating Capability Elicitation Techniques
by: Hofstätter, Felix, et al.
Published: (2025)

Equitable Evaluation via Elicitation
by: Du, Elbert, et al.
Published: (2026)

Challenges and proposed solutions in modeling multimodal data: A systematic review
by: Farhadizadeh, Maryam, et al.
Published: (2025)

ElicitationGPT: Text Elicitation Mechanisms via Language Models
by: Wu, Yifan, et al.
Published: (2024)

Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
by: Casademunt, Helena, et al.
Published: (2026)

Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
by: Galesso, Silvio, et al.
Published: (2024)

Eliciting Risk Aversion with Inverse Reinforcement Learning via Interactive Questioning
by: Cheng, Ziteng, et al.
Published: (2023)

Truthful Elicitation of Imprecise Forecasts
by: Singh, Anurag, et al.
Published: (2025)

Elicitation-Augmented Bayesian Optimization
by: Haltia, Alvar, et al.
Published: (2026)

CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
by: Bhatt, Aditya, et al.
Published: (2019)

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions
by: Suvarna, Ashima, et al.
Published: (2026)

A statistical approach to latent dynamic modeling with differential equations
by: Hackenberg, Maren, et al.
Published: (2023)

Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
by: Schrodi, Simon, et al.
Published: (2024)

Constrained Reinforcement Learning with Smoothed Log Barrier Function
by: Zhang, Baohe, et al.
Published: (2024)

Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning
by: Sarkar, Soumajyoti, et al.
Published: (2024)

Features of the Earth's seasonal hydroclimate: Characterizations and comparisons across the Koppen-Geiger climates and across continents
by: Papacharalampous, Georgia, et al.
Published: (2022)

Efficient Swap Multicalibration of Elicitable Properties
by: Hu, Lunjia, et al.
Published: (2025)

Optimal Design for Human Preference Elicitation
by: Mukherjee, Subhojyoti, et al.
Published: (2024)

TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs
by: Wang, Cheng, et al.
Published: (2024)

TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees
by: Li, Weida, et al.
Published: (2026)

Evaluation of k-means time series clustering based on z-normalization and NP-Free
by: Lee, Ming-Chang, et al.
Published: (2024)

cVLA: Towards Efficient Camera-Space VLAs
by: Argus, Max, et al.
Published: (2025)

Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials
by: Tacke, Marius, et al.
Published: (2025)