Anitha Kannan
16 papers · 2006–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Champion
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Keyword Trendsetter Combo
(6)
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
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Conference Pioneer
ποΈ
Keyword Collector
(91)
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Trend Setter
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Natural Language Processing
(10)
Artificial Intelligence
(9)
Generation
(8)
Core AI
(6)
Deep Learning
(5)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Application Areas
(4)
Applications
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Learning Types Β· Deep Learning
(2)
Keywords
large language model
(5)
few-shot learning
(4)
dialogue system
(4)
dialogue summarization
(2)
transfer learning
(2)
data augmentation
(2)
knowledge distillation
(2)
expert system
(2)
medical conversation summarization
(2)
medical dialogue summarization
(2)
object detection
(1)
appearance modeling
(1)
shape analysis
(1)
knowledge transfer
(1)
feature learning
(1)
sequence generation
(1)
unsupervised clustering
(1)
named entity recognition
(1)
clustering
(1)
image segmentation
(1)
Papers
Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilsonβs Disease
MLHC 2025
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants
NAACL 2024
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents
NAACL 2024
Dialogue-Contextualized Re-ranking for Medical History-Taking
MLHC 2023
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models
ACL 2023
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue
ACL 2023
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach
MLHC 2023
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
MLHC 2021
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
NAACL 2021
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures.
EMNLP 2020
Few-Shot Learning for Dermatological Disease Diagnosis
MLHC 2019
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations
ICML 2018
Learning from the experts: From expert systems to machine-learned diagnosis models
MLHC 2018
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
NeurIPS 2017
Discovering Topical Aspects in Microblogs
COLING 2014
Clustering appearance and shape by learning jigsaws
NeurIPS 2006