Tristan Naumann
17 papers · 2019–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(78)
Top co-authors
Research topics
Natural Language Processing
(9)
Machine Learning
(8)
Artificial Intelligence
(7)
Healthcare & Medicine
(7)
Clinical
(7)
Deep Learning
(6)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(5)
Application Areas
(4)
Applications
(4)
Resources & Methods
(4)
Generation
(3)
Learning Paradigms
(3)
Models
(2)
Keywords
self-supervised learning
(4)
biomedical nlp
(3)
relation extraction
(2)
language model
(2)
continual learning
(2)
document-level extraction
(2)
large language model
(2)
contrastive learning
(2)
continual pre-training
(2)
document-level relation extraction
(2)
domain adaptation
(1)
transfer learning
(1)
entity linking
(1)
model evaluation
(1)
medical imaging
(1)
clinical prediction
(1)
variational inference
(1)
low-resource learning
(1)
instruction following
(1)
visual question answering
(1)
Papers
Masked-Diffusion Autoencoders for 3D Medical Vision Representation Learning
CVPR 2026
OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning
CVPR 2026
Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects
MLHC 2024
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
ICLR 2024
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation
ACL 2024
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
ACL 2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
NeurIPS 2023
Prompt Discriminative Language Models for Domain Adaptation
ACL 2023
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
MLHC 2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
ACL 2023
Knowledge-Rich Self-Supervision for Biomedical Entity Linking
EMNLP 2022
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
ECCV 2022
Modular Self-Supervision for Document-Level Relation Extraction
EMNLP 2021
Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration
MLHC 2020
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
MLHC 2019
Proceedings of the 2nd Clinical Natural Language Processing Workshop
NAACL 2019
Publicly Available Clinical BERT Embeddings
NAACL 2019