Work with Carsten Eickhoff, Ph.D. | NotedSource
Carsten is a Professor at the University of Tübingen where
his lab specializes in the development of interpretable
natural language processing and AI techniques. Prior to
joining Tübingen, he was the Manning Assistant Professor
of Medical and Computer Science at Brown University. He
received degrees from the University of Edinburgh and TU
Delft, and was a postdoctoral fellow at ETH Zurich and
Harvard University. Carsten has authored more than 150
articles in computer science conferences (e.g., ICLR, ACL,
SIGIR, WWW, KDD) and clinical journals (e.g., Nature
Digital Medicine, The Lancet - Respiratory Medicine,
Radiology, European Heart Journal). His research has been
supported by the Swiss National Science Foundation, NSF,
NIH, DARPA, IARPA, Google, Amazon, Microsoft and others.
Aside from his academic endeavors, he is a founder and
board member of several deep technology startups.
https://cv.notedsource.io/me/5GRM81YR
Carsten Eickhoff, Ph.D.
Professor | Scientific Director | Founder | Board Member | Expert in Natural Language Processing and AI
Tübingen
Research Expertise
Natural Language Processing
Information Retrieval
Digital Health
Generative AI
Machine Learning
Technology Entrepreneurship
About
Carsten is a Professor at the University of
Tübingen where his lab specializes in the
development of interpretable natural language
processing and AI techniques. Prior to joining
Tübingen, he was the Manning Assistant
Professor of Medical and Computer Science at
Brown University. He received degrees from the
University of Edinburgh and TU Delft, and was
a postdoctoral fellow at ETH Zurich and
Harvard University. Carsten has authored more
than 150 articles in computer science
conferences (e.g., ICLR, ACL, SIGIR, WWW, KDD)
and clinical journals (e.g., Nature Digital
Medicine, The Lancet - Respiratory Medicine,
Radiology, European Heart Journal). His
research has been supported by the Swiss
National Science Foundation, NSF, NIH, DARPA,
IARPA, Google, Amazon, Microsoft and others.
Aside from his academic endeavors, he is a
founder and board member of several deep
technology startups.
Legacy Map
Full ViewPublications
A Transformer-based Framework for
Multivariate Time Series Representation
Learning
Proceedings of the 27th ACM SIGKDD
Conference on Knowledge Discovery &
Data Mining
2021
Machine learning for real-time prediction
of complications in critical care: a
retrospective study
The Lancet Respiratory Medicine
2018
Quality through flow and immersion
Proceedings of the 35th international
ACM SIGIR conference on Research and
development in information
retrieval
2012
Increasing cheat robustness of
crowdsourcing tasks
Information Retrieval
2012
Cognitive Biases in Crowdsourcing
Proceedings of the Eleventh ACM
International Conference on Web Search
and Data Mining
2018
Lessons from the journey
Proceedings of the 7th ACM
international conference on Web search
and data mining
2014
Managing the Quality of Large-Scale
Crowdsourcing
Unknown Venue
2011
Probabilistic Bag-Of-Hyperlinks Model for
Entity Linking
Proceedings of the 25th International
Conference on World Wide Web
2016
GeAnn at the TREC 2011 Crowdsourcing Track
Unknown Venue
2011
Comment on the Paper Titled ’The Origin of
Quantum Mechanical Statistics: Insights
from Research on Human Language’ (arXiv
preprint arXiv:2407.14924, 2024)
Unknown Venue
2024
Advancing health equity with artificial
intelligence
Journal of Public Health Policy
2021
Multimodal attention-based deep learning
for Alzheimer’s disease diagnosis
Journal of the American Medical
Informatics Association
2022
Deep-learning-based real-time prediction
of acute kidney injury outperforms human
predictive performance
npj Digital Medicine
2020
The where in the tweet
Proceedings of the 20th ACM
international conference on Information
and knowledge management
2011
Talking Heads: Understanding Inter-Layer
Communication in Transformer Language
Models
Advances in Neural Information
Processing Systems 37
2024
Overview of ImageCLEF 2018: Challenges,
Datasets and Evaluation
Lecture Notes in Computer Science
2018
Detecting Large Vessel Occlusion at
Multiphase CT Angiography by Using a Deep
Convolutional Neural Network
Radiology
2020
Overview of ImageCLEF 2017: Information
Extraction from Images
Lecture Notes in Computer Science
2017
Drug–drug interaction prediction with
Wasserstein Adversarial Autoencoder-based
knowledge graph embeddings
Briefings in Bioinformatics
2020
ArXiv preprint server plans
multimillion-dollar overhaul
Nature
2016
Language Models Implement Simple
Word2Vec-style Vector Arithmetic
Proceedings of the 2024 Conference of
the North American Chapter of the
Association for Computational
Linguistics: Human Language Technologies
(Volume 1: Long Papers)
2024
TripClick: The Log Files of a Large Health
Web Search Engine
Proceedings of the 44th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2021
Web2Text: Deep Structured Boilerplate
Removal
Lecture Notes in Computer Science
2018
An Eye-Tracking Study of Query
Reformulation
Proceedings of the 38th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2015
Personalizing atypical web search sessions
Proceedings of the sixth ACM
international conference on Web search
and data mining
2013
Mitigating Bias in Search Results Through
Contextual Document Reranking and
Neutrality Regularization
Proceedings of the 45th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2022
On the Effect of Low-Frequency Terms on
Neural-IR Models
Proceedings of the 42nd International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2019
COVID-19 mortality prediction in the
intensive care unit with deep learning
based on longitudinal chest X-rays and
clinical data
European Radiology
2022
Not All Relevance Scores are Equal:
Efficient Uncertainty and Calibration
Modeling for Deep Retrieval Models
Proceedings of the 44th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2021
A combined topical/non-topical approach to
identifying web sites for children
Proceedings of the fourth ACM
international conference on Web search
and data mining
2011
Preprint site arXiv is banning
computer-science reviews: here’s why
Nature
2025
IsoScore: Measuring the Uniformity of
Embedding Space Utilization
Findings of the Association for
Computational Linguistics: ACL
2022
2022
Unsupervised Learning of Parsimonious
General-Purpose Embeddings for User and
Location Modeling
ACM Transactions on Information
Systems
2018
An automated COVID-19 triage pipeline
using artificial intelligence based on
chest radiographs and clinical data
npj Digital Medicine
2022
Web page classification on child
suitability
Proceedings of the 19th ACM
international conference on Information
and knowledge management
2010
Unsupervised Multivariate Time-Series
Transformers for Seizure Identification on
EEG
2022 21st IEEE International Conference
on Machine Learning and Applications
(ICMLA)
2022
Parameter-efficient Modularised Bias
Mitigation via AdapterFusion
Proceedings of the 17th Conference of
the European Chapter of the Association
for Computational Linguistics
2023
NEWTS: A Corpus for News Topic-Focused
Summarization
Findings of the Association for
Computational Linguistics: ACL
2022
2022
Supporting children's web search in school
environments
Proceedings of the 4th Information
Interaction in Context Symposium
2012
Introduction to the special issue on
search as learning
Information Retrieval Journal
2017
Crowd-powered experts
Proceedings of the First International
Workshop on Gamification for Information
Retrieval
2014
Development of a Deep Learning Network to
Classify Inferior Vena Cava Collapse to
Predict Fluid Responsiveness
Journal of Ultrasound in Medicine
2020
Do “Undocumented Workers” == “Illegal
Aliens”? Differentiating Denotation and
Connotation in Vector Spaces
Proceedings of the 2020 Conference on
Empirical Methods in Natural Language
Processing (EMNLP)
2020
Dynamic compression schemes for graph
coloring
Bioinformatics
2018
Modelling Term Dependence with Copulas
Proceedings of the 38th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2015
SIMSUM: Document-level Text Simplification
via Simultaneous Summarization
Proceedings of the 61st Annual Meeting
of the Association for Computational
Linguistics (Volume 1: Long
Papers)
2023
Machine learning to predict hemorrhage and
thrombosis during extracorporeal membrane
oxygenation
Critical Care
2020
Enriching Word Embeddings for Patent
Retrieval with Global Context
Lecture Notes in Computer Science
2019
A Modern Perspective on Query Likelihood
with Deep Generative Retrieval Models
Proceedings of the 2021 ACM SIGIR
International Conference on Theory of
Information Retrieval
2021
Computing Web-scale Topic Models using an
Asynchronous Parameter Server
Proceedings of the 40th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2017
Copulas for information retrieval
Proceedings of the 36th international
ACM SIGIR conference on Research and
development in information
retrieval
2013
Transcriptional profiles of pulmonary
artery endothelial cells in pulmonary
hypertension
Scientific Reports
2023
CATS: Customizable Abstractive Topic-based
Summarization
ACM Transactions on Information
Systems
2021
A Cross-Platform Collection of Social
Network Profiles
Proceedings of the 39th International
ACM SIGIR conference on Research and
Development in Information
Retrieval
2016
Exploiting User Comments for Audio-Visual
Content Indexing and Retrieval
Lecture Notes in Computer Science
2013
YouTube Videos
Watching YouTube
2010
Search Result Explanations Improve
Efficiency and Trust
Proceedings of the 43rd International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2020
Want a coffee?
Proceedings of the 35th international
ACM SIGIR conference on Research and
development in information
retrieval
2012
CODER: An efficient framework for
improving retrieval through COntextual
Document Embedding Reranking
Proceedings of the 2022 Conference on
Empirical Methods in Natural Language
Processing
2022
Exploiting Document Content for Efficient
Aggregation of Crowdsourcing Votes
Proceedings of the 24th ACM
International on Conference on
Information and Knowledge
Management
2015
Geo-spatial Domain Expertise in Microblogs
Lecture Notes in Computer Science
2014
Biomedical Question Answering via Weighted
Neural Network Passage Retrieval
Lecture Notes in Computer Science
2018
Named Entity Recognition of traditional
architectural text based on BERT
2021 International Conference on
Culture-oriented Science &
Technology (ICCST)
2021
Experimental IR Meets Multilinguality,
Multimodality, and Interaction
Lecture Notes in Computer Science
2020
Implicit Negative Feedback in Clinical
Information Retrieval
Swiss Medical Informatics
2016
Probabilistic Local Expert Retrieval
Lecture Notes in Computer Science
2016
Web Search Query Assistance Functionality
for Young Audiences
Lecture Notes in Computer Science
2011
What Do VLMs NOTICE? A Mechanistic
Interpretability Pipeline for
Gaussian-Noise-free Text-Image Corruption
and Evaluation
Proceedings of the 2025 Conference of
the Nations of the Americas Chapter of
the Association for Computational
Linguistics: Human Language Technologies
(Volume 1: Long Papers)
2025
The Scholarly Impact of CLEF 2010–2017
The Information Retrieval Series
2019
Crowdsourced user interface testing for
multimedia applications
Proceedings of the ACM multimedia 2012
workshop on Crowdsourcing for
multimedia
2012
Towards Objective Quantification of Hand
Tremors and Bradykinesia Using Contactless
Sensors: A Systematic Review
Frontiers in Aging Neuroscience
2021
EmSe
Proceedings of the 4th Information
Interaction in Context Symposium
2012
Self-Supervised Neural Topic Modeling
Findings of the Association for
Computational Linguistics: EMNLP
2021
2021
Brown University at TREC Deep Learning
2019
Unknown Venue
2019
Model sensitivity analysis on arxiv
Unknown Venue
2018
Artificial intelligence-assisted care in
medicine: a revolution or yet another
blunt weapon?
European Heart Journal
2019
Active Content-Based Crowdsourcing Task
Selection
Proceedings of the 25th ACM
International on Conference on
Information and Knowledge
Management
2016
Neural Summarization of Electronic Health
Records (Preprint)
Unknown Venue
2023
Search as Learning (SAL) Workshop 2016
Proceedings of the 39th International
ACM SIGIR conference on Research and
Development in Information
Retrieval
2016
The downside of markup
Proceedings of the 21st ACM
international conference on Information
and knowledge management
2012
Exploring Facilitators and Barriers for
Personalized Dietary Incentives Among
Online Shoppers at Cardiovascular Risk and
Key Informants to Inform an Automated
Shopping Platform
Journal of Nutrition Education and
Behavior
2025
K-Paths: Reasoning over Graph Paths for
Drug Repurposing and Drug Interaction
Prediction
Proceedings of the 31st ACM SIGKDD
Conference on Knowledge Discovery and
Data Mining V.2
2025
Towards Best Practices of Axiomatic
Activation Patching in Information
Retrieval
Proceedings of the 48th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2025
Workshop on Explainability in Information
Retrieval
Proceedings of the 48th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2025
Retrieval Augmented Therapy Suggestion for
Molecular Tumor Boards: Algorithmic
Development and Validation Study
Journal of Medical Internet
Research
2025
What’s Going On With Me and How Can I
Better Manage My Health? The Potential of
GPT-4 to Transform Discharge Letters Into
Patient-Centered Letters to Enhance
Patient Safety: Prospective, Exploratory
Study
Journal of Medical Internet
Research
2025
MechIR: A Mechanistic Interpretability
Framework for Information Retrieval
Lecture Notes in Computer Science
2025
What’s Going On With Me and How Can I
Better Manage My Health? The Potential of
GPT-4 to Transform Discharge Letters Into
Patient-Centered Letters to Enhance
Patient Safety: Prospective, Exploratory
Study (Preprint)
Unknown Venue
2024
A Language Model–Powered Simulated Patient
With Automated Feedback for History
Taking: Prospective Study
JMIR Medical Education
2024
Retrieval Augmented Zero-Shot Text
Classification
Proceedings of the 2024 ACM SIGIR
International Conference on Theory of
Information Retrieval
2024
Retrieval Augmented Therapy Suggestion for
Molecular Tumor Boards: Algorithmic
Development and Validation Study
(Preprint)
Unknown Venue
2024
Axiomatic Causal Interventions for Reverse
Engineering Relevance Computation in
Neural Retrieval Models
Proceedings of the 47th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2024
Evaluating Search System Explainability
with Psychometrics and Crowdsourcing
Proceedings of the 47th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2024
Retrieval-Based Diagnostic Decision
Support: Mixed Methods Study
JMIR Medical Informatics
2024
A Language Model–Powered Simulated Patient
With Automated Feedback for History
Taking: Prospective Study (Preprint)
Unknown Venue
2024
Learning to Make Rare and Complex
Diagnoses With Generative AI Assistance:
Qualitative Study of Popular Large
Language Models
JMIR Medical Education
2024
Wasserstein adversarial learning based
temporal knowledge graph embedding
Information Sciences
2024
Predicting Acute Brain Injury in
Venoarterial Extracorporeal Membrane
Oxygenation Patients with Tree-Based
Machine Learning: Analysis of the
Extracorporeal Life Support Organization
Registry
Unknown Venue
2024
Utilizing Machine Learning to Predict
Neurological Injury in Venovenous
Extracorporeal Membrane Oxygenation
Patients: An Extracorporeal Life Support
Organization Registry Analysis
Unknown Venue
2023
Predictive Uncertainty-based Bias
Mitigation in Ranking
Proceedings of the 32nd ACM
International Conference on Information
and Knowledge Management
2023
Learning to Make Rare and Complex
Diagnoses With Generative AI Assistance:
Qualitative Study of Popular Large
Language Models (Preprint)
Unknown Venue
2023
Retrieval-Based Diagnostic Decision
Support: Mixed Methods Study (Preprint)
Unknown Venue
2023
Weakly supervised pneumonia localization
in chest X‐rays using generative
adversarial networks
Medical Physics
2021
Categorization of free-text drug orders
using character-level recurrent neural
networks
International Journal of Medical
Informatics
2019
Dynamic compression schemes for graph
coloring
Unknown Venue
2017
The Accuracy And Clinical Relevance of
Chat GPT-4 in Triple Negative Breast
Cancer Research
Acta Informatica Medica
2025
Report from the 4th Strategic Workshop on
Information Retrieval in Lorne (SWIRL
2025)
ACM SIGIR Forum
2025
The topology of molecular representations
and its influence on machine learning
performance
Journal of Cheminformatics
2025
Artificial intelligence based real-time
prediction of imminent heart failure
hospitalisation in patients undergoing
non-invasive telemedicine
Frontiers in Cardiovascular
Medicine
2024
Identifying momentary suicidal ideation
using machine learning in patients at
high-risk for suicide
Journal of Affective Disorders
2024
Künstliche Intelligenz in der Medizin: Wo
stehen wir heute, und was liegt vor uns?
Zeitschrift für Herz-,Thorax- und
Gefäßchirurgie
2024
Short-term vital parameter forecasting in
the intensive care unit: A benchmark study
leveraging data from patients after
cardiothoracic surgery
PLOS Digital Health
2024
One Third of Alcohol Use Disorder
Diagnoses are Missed by ICD Coding
Substance Use & Addiction
Journal
2024
Pre-operative lung ablation prediction
using deep learning
European Radiology
2024
Interpretable machine learning-based
predictive modeling of patient outcomes
following cardiac surgery
The Journal of Thoracic and
Cardiovascular Surgery
2025
Editorial: The Potential of
Machine-learning in Pharmacogenetics,
Pharmacogenomics and Pharmacoepidemiology:
Volume II
Frontiers in Pharmacology
2023
AI-Controlled Closed-Loop Electrical
Stimulation Implants: A Feasibility Study
Unknown Venue
2022
Delirium detection using wearable sensors
and machine learning in patients with
intracerebral hemorrhage
Frontiers in Neurology
2023
Neural text generation in regulatory
medical writing
Frontiers in Pharmacology
2023
Risk Factors for Pediatric Sepsis in the
Emergency Department
Pediatric Emergency Care
2023
Editorial: The Potential of Machine
Learning in Pharmacogenetics,
Pharmacogenomics and Pharmacoepidemiology
Frontiers in Pharmacology
2022
Correction to: COVID-19 mortality
prediction in the intensive care unit with
deep learning based on longitudinal chest
X-rays and clinical data
European Radiology
2022
On the Role of “Digital Actors” in
Entertainment-Based Virtual Worlds
The Oxford Handbook of Virtuality
2013
Machine learning and deep learning-based
approaches in epilepsy
Unknown Venue
Quantifying the Risks of LLM- and
Tool-assisted Rephrasing to Linguistic
Diversity
Findings of the Association for
Computational Linguistics: EMNLP
2025
2025
Position: Benchmarking is Broken - Don't
Let AI be its Own Judge
Unknown Venue
2025
Pixels Versus Priors: Controlling
Knowledge Priors in Vision-Language Models
through Visual Counterfacts
Proceedings of the 2025 Conference on
Empirical Methods in Natural Language
Processing
2025
Pathway to Relevance: How Cross-Encoders
Implement a Semantic Variant of BM25
Proceedings of the 2025 Conference on
Empirical Methods in Natural Language
Processing
2025
Interpretability Analysis of Arithmetic
In-Context Learning in Large Language
Models
Proceedings of the 2025 Conference on
Empirical Methods in Natural Language
Processing
2025
Paths Not Taken: Understanding and Mending
the Multilingual Factual Recall Pipeline
Proceedings of the 2025 Conference on
Empirical Methods in Natural Language
Processing
2025
Beyond Contrastive Learning: Synthetic
Data Enables List-wise Training with
Multiple Levels of Relevance
Findings of the Association for
Computational Linguistics: EMNLP
2025
2025
Re-Evaluating Evaluation for Multilingual
Summarization
Proceedings of the 2024 Conference on
Empirical Methods in Natural Language
Processing
2024
Forgotten Polygons: Multimodal Large
Language Models are Shape-Blind
Findings of the Association for
Computational Linguistics: ACL
2025
2025
Evaluating Self-Generated Documents for
Enhancing Retrieval-Augmented Generation
with Large Language Models
Findings of the Association for
Computational Linguistics: NAACL
2025
2025
One-Versus-Others Attention: Scalable
Multimodal Integration for Biomedical Data
Biocomputing 2025
2024
Text Simplification via Adaptive Teaching
Findings of the Association for
Computational Linguistics ACL 2024
2024
Stable On-Line Learning with Optimized
Local Learning, But Minimal Change of the
Global Output
2013 12th International Conference on
Machine Learning and Applications
2013
Enhancing the Ranking Context of Dense
Retrieval through Reciprocal Nearest
Neighbors
Proceedings of the 2023 Conference on
Empirical Methods in Natural Language
Processing
2023
Outlier Dimensions Encode Task Specific
Knowledge
Proceedings of the 2023 Conference on
Empirical Methods in Natural Language
Processing
2023
Pretraining on Interactions for Learning
Grounded Affordance Representations
Proceedings of the 11th Joint
Conference on Lexical and Computational
Semantics
2022
American Medical Informatics Association
(AMIA) 2007 Annual Symposium
Unknown Venue
2008
Inconsistent Ranking Assumptions in
Medical Search and Their Downstream
Consequences
Proceedings of the 45th International
ACM SIGIR Conference on Research and
Development in Information
Retrieval
2022
APA-RST: A Text Simplification Corpus with
RST Annotations
Proceedings of the 4th Workshop on
Computational Approaches to Discourse
(CODI 2023)
2023
SOCCER: An Information-Sparse Discourse
State Tracking Collection in the Sports
Commentary Domain
Proceedings of the 2021 Conference of
the North American Chapter of the
Association for Computational
Linguistics: Human Language
Technologies
2021
34th Annual Symposium on Biomedical and
Health Informatics (AMIA 2010) conference
report
ACM SIGHIT Record
2011
Web-Based Visualization of MeSH-Based
PubMed/MEDLINE Statistics
Studies in Health Technology and
Informatics
2019
Baxter Amia Automated Peritoneal Dialysis
Cycler Set
Biomedical Safety & Standards
2024
Education
Technische Universiteit Delft
Ph.D. (Computer Science) / October, 2014
Delft
The University of Edinburgh
M.Sc. (Artificial Intelligence) / November, 2009
Edinburgh
FHDW Hannover
B.Sc. / 2008
Experience
University of Tübingen
Professor / 2022 — Present
Brown University
Manning Assistant Professor / 2018 — 2022
ETH Zurich
Postdoc / 2014 — 2018
University Hospital Tübingen
Scientific Director (Medical Data Integration Center) / 2022 — Present
Harvard University
Visiting Fellow / 2017 — 2017
codiag AG
Co-Founder & Chief Scientist / 2018 — 2022
CareCrowd
Co-Founder & CTO / 2024 — Present
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