Danielle Bitterman
8 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (3) π Academic Marathon (5) π Renaissance Researcher (8) π Interdisciplinary Bridge
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Taxonomy Completionist
(29)
π§
Keyword Pioneer
ποΈ
Keyword Collector
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The Questioner
Conferences
EMNLP (6)
AAAI (1)
NAACL (1)
Top co-authors
Keywords
large language model
(4)
feature extraction
(2)
zero-shot learning
(2)
benchmark evaluation
(1)
embedding learning
(1)
medical imaging
(1)
information extraction
(1)
relation extraction
(1)
electronic health record
(1)
question answering
(1)
named entity recognition
(1)
clinical text mining
(1)
multimodal learning
(1)
exemplar selection
(1)
zero-shot transfer
(1)
vision language model
(1)
sparse autoencoder
(1)
tabular datum
(1)
in-context learning
(1)
domain adaptation
(1)
Papers
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs
AAAI 2025
Sparse Autoencoder Features for Classifications and Transferability
EMNLP 2025
When Models Reason in Your Language: Controlling Thinking Language Comes at the Cost of Accuracy
EMNLP 2025
WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation
NAACL 2025
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
EMNLP 2024
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
EMNLP 2024
Measuring Pointwise π±-Usable Information In-Context-ly
EMNLP 2023
Extracting Relations between Radiotherapy Treatment Details
EMNLP 2020