Tristan Naumann
15 papers · 2019–2024 · 7 conferences · across top CS/AI conferences
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Conferences
ACL (4)
MLHC (4)
EMNLP (2)
NAACL (2)
ECCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
self-supervised learning
(3)
biomedical nlp
(3)
contrastive learning
(2)
relation extraction
(2)
continual learning
(2)
language model
(2)
continual pretraining
(2)
document-level relation extraction
(2)
large language model
(2)
document-level extraction
(2)
curriculum learning
(1)
model evaluation
(1)
text generation
(1)
text summarization
(1)
entity linking
(1)
domain adaptation
(1)
domain knowledge
(1)
transfer learning
(1)
biomedical imaging
(1)
clinical prediction
(1)
Papers
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
ICLR 2024
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation
ACL 2024
Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects
MLHC 2024
Prompt Discriminative Language Models for Domain Adaptation
ACL 2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
NIPS 2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
ACL 2023
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
MLHC 2023
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
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