Krishna P. Gummadi
8 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird
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The Questioner
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Research topics
Machine Learning
(6)
Deep Learning
(5)
Application Areas
(5)
Core Methods
(5)
Learning Types · Deep Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Natural Language Processing
(3)
Resources & Methods
(3)
Computer Science
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Science
(1)
Architectures
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Keywords
large language model
(4)
fairness constraint
(2)
algorithmic fairness
(2)
fair classification
(2)
logistic regression
(1)
human perception
(1)
adversarial learning
(1)
text representation
(1)
domain adaptation
(1)
model interpretability
(1)
text annotation
(1)
random walk
(1)
influence maximization
(1)
support vector machine
(1)
inductive bia
(1)
deep neural network
(1)
node embedding
(1)
decision boundary
(1)
parameter-efficient fine-tuning
(1)
in-context learning
(1)
Papers
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective
ACL 2026
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
ACL 2026
Lawma: The Power of Specialization for Legal Annotation
ICLR 2025
TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability
EMNLP 2025
Do Invariances in Deep Neural Networks Align with Human Perception?
AAAI 2023
CrossWalk: Fairness-Enhanced Node Representation Learning
AAAI 2022
Fairness Constraints: A Flexible Approach for Fair Classification
JMLR 2019
Fairness Constraints: Mechanisms for Fair Classification
AISTATS 2017