:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ahrens, Lara, Haverkamp, Wilhelm, Strodthoff, Nils
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2510.18339
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
by: Wagner, Patrick, et al.
Published: (2023)

Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
by: Strodthoff, Nils, et al.
Published: (2023)

Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signals
by: Wang, Tiezhi, et al.
Published: (2025)

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
by: Alcaraz, Juan Miguel López, et al.
Published: (2026)

Question answering system of bridge design specification based on large language model
by: Zhang, Leye, et al.
Published: (2024)

Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025)

Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals
by: Ott, Gabriel, et al.
Published: (2023)

Post-training makes large language models less human-like
by: Binz, Marcel, et al.
Published: (2026)

Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves
by: Qin, Wenjuan, et al.
Published: (2025)

Large language models as oracles for instantiating ontologies with domain-specific knowledge
by: Ciatto, Giovanni, et al.
Published: (2024)

Amortizing intractable inference in large language models
by: Hu, Edward J., et al.
Published: (2023)

Representation in large language models
by: Yetman, Cameron
Published: (2025)

AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)

Alignment faking in large language models
by: Greenblatt, Ryan, et al.
Published: (2024)

SteuerLLM: Local specialized large language model for German tax law analysis
by: Wind, Sebastian, et al.
Published: (2026)

Prompt reinforcing for long-term planning of large language models
by: Lin, Hsien-Chin, et al.
Published: (2025)

Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study
by: Al-Masud, M A, et al.
Published: (2026)

Long-form factuality in large language models
by: Wei, Jerry, et al.
Published: (2024)

Can large language models explore in-context?
by: Krishnamurthy, Akshay, et al.
Published: (2024)

Quantifying perturbation impacts for large language models
by: Rauba, Paulius, et al.
Published: (2024)

On the logical skills of large language models: evaluations using arbitrarily complex first-order logic problems
by: Ibragimov, Shokhrukh, et al.
Published: (2025)

Zero-shot generation of synthetic neurosurgical data with large language models
by: Barr, Austin A., et al.
Published: (2025)

Only relative ranks matter in weight-clustered large language models
by: Aizpurua, Borja, et al.
Published: (2026)

DataComp-LM: In search of the next generation of training sets for language models
by: Li, Jeffrey, et al.
Published: (2024)

B-score: Detecting biases in large language models using response history
by: Vo, An, et al.
Published: (2025)

Leveraging large language models for structured information extraction from pathology reports
by: Balasubramanian, Jeya Balaji, et al.
Published: (2025)

The representation landscape of few-shot learning and fine-tuning in large language models
by: Doimo, Diego, et al.
Published: (2024)

FeatInv: Spatially resolved mapping from feature space to input space using conditional diffusion models
by: Neukirch, Nils, et al.
Published: (2025)

TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese
by: Corrêa, Nicholas Kluge, et al.
Published: (2024)

Mathematics with large language models as provers and verifiers
by: Duc, Hieu Le, et al.
Published: (2025)

Data filtering methods for training language models
by: Shevchenko, Egor, et al.
Published: (2026)

Scaling behavior of large language models in emotional safety classification across sizes and tasks
by: Pinzuti, Edoardo, et al.
Published: (2025)

TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
by: Feng, Jiarui, et al.
Published: (2024)

Inducing anxiety in large language models can induce bias
by: Coda-Forno, Julian, et al.
Published: (2023)

Queue management for slo-oriented large language model serving
by: Patke, Archit, et al.
Published: (2024)

Benchmarking large language models for biomedical natural language processing applications and recommendations
by: Chen, Qingyu, et al.
Published: (2023)

A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
by: Sushil, Madhumita, et al.
Published: (2024)

Physical models realizing the transformer architecture of large language models
by: Chen, Zeqian
Published: (2025)