Adithya Kulkarni
7 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
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Taxonomy Completionist
(17)
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Learning Types
(3)
Optimization & Theory
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms
(1)
Methods
(1)
Models
(1)
Keywords
budget allocation
(2)
policy optimization
(1)
label accuracy
(1)
prompt engineering
(1)
named entity recognition
(1)
dependency parsing
(1)
sentiment classification
(1)
scientific evaluation
(1)
markov decision process
(1)
label noise
(1)
worker reliability
(1)
knowledge graph
(1)
diffusion model
(1)
uncertainty estimation
(1)
retrieval-augmented generation
(1)
multi-hop reasoning
(1)
label correlation
(1)
prompt perturbation
(1)
hypothesis generation
(1)
semantic dependency
(1)
Papers
Budget Allocation Exploiting Label Correlation between Instances
UAI 2025
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
EMNLP 2025
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
NAACL 2025
SciCompanion: Graph-Grounded Reasoning for Structured Evaluation of Scientific Arguments
EMNLP 2025
Optimal Budget Allocation for Crowdsourcing Labels for Graphs
UAI 2023
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts
ACL 2023
OptSLA: an Optimization-Based Approach for Sequential Label Aggregation
EMNLP 2020