Monica Agrawal
9 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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๐ Conference Polyglot ยท Bronze ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Silver ๐บ๏ธ Taxonomy Completionist (21) ๐ฃ Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(6)
Natural Language Processing
(6)
Applications
(6)
Artificial Intelligence
(4)
Deep Learning
(3)
Healthcare & Medicine
(3)
Clinical
(3)
Core Methods
(3)
Learning Types
(3)
Core AI
(2)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
large language model
(3)
named entity recognition
(2)
zero-shot learning
(2)
few-shot learning
(2)
probabilistic programming
(1)
conversational ai
(1)
relation extraction
(1)
sequential monte carlo
(1)
text classification
(1)
gibbs sampling
(1)
structured data
(1)
tabular data
(1)
electronic health record
(1)
retrieval-augmented generation
(1)
data cleaning
(1)
zero-shot classification
(1)
information retrieval
(1)
text serialization
(1)
relational data
(1)
bayesian inference
(1)
Papers
Position: Retrieval-augmented systems can be dangerous medical communicators
ICML 2025
โWhatโs Up, Doc?โ: 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