Monica Agrawal
9 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (5) π£ Hot Topic Early Bird
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Cross-Pollinator
(13)
π
Renaissance Researcher
(5)
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Interdisciplinary Bridge
β
The Questioner
Conferences
MLHC (4)
AISTATS (2)
EMNLP (2)
ICML (1)
Top co-authors
Keywords
large language model
(3)
zero-shot learning
(2)
few-shot learning
(2)
named entity recognition
(2)
conversational ai
(1)
information retrieval
(1)
sequential monte carlo
(1)
gibbs sampling
(1)
probabilistic programming
(1)
tabular datum
(1)
electronic health record
(1)
zero-shot classification
(1)
data cleaning
(1)
structured datum
(1)
text serialization
(1)
relational datum
(1)
clinical information extraction
(1)
dialogue system
(1)
entity normalization
(1)
clinical entity extraction
(1)
Papers
Position: Retrieval-augmented systems can be dangerous medical communicators
ICML 2025
βWhatβs Up, Doc?β: Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
EMNLP 2025
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes
MLHC 2023
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
AISTATS 2023
Large language models are few-shot clinical information extractors
EMNLP 2022
Directing Human Attention in Event Localization for Clinical Timeline Creation
MLHC 2021
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
AISTATS 2021
Fast, Structured Clinical Documentation via Contextual Autocomplete
MLHC 2020
Robust Benchmarking for Machine Learning of Clinical Entity Extraction
MLHC 2020