Lucian Popa
22 papers · 2012–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Mega-Team Β· Squad
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Trend Setter
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Keyword Collector
(101)
π
Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(16)
Natural Language Processing
(13)
Artificial Intelligence
(11)
Learning Types Β· Machine Learning
(10)
Core AI
(9)
Applications
(8)
Application Areas
(6)
Core Methods
(5)
Learning Paradigms
(4)
Optimization & Theory
(4)
Resources & Methods
(4)
Deep Learning
(3)
Learning Types Β· Deep Learning
(3)
Computer Science
(2)
Knowledge & Reasoning
(2)
Keywords
text classification
(4)
knowledge base
(3)
active learning
(3)
large language model
(3)
automated machine learning
(2)
domain adaptation
(2)
entity linking
(2)
entity resolution
(2)
natural language explanation
(2)
hyperparameter optimization
(2)
transfer learning
(2)
first-order logic
(2)
weak supervision
(2)
instruction fine-tuning
(2)
short text
(2)
in-context learning
(1)
natural language inference
(1)
data subset selection
(1)
object detection
(1)
image segmentation
(1)
Papers
Constraint-Guided Clustering for Identifying in-Vehicle Electronic Control Units from Voltage Data
AAAI 2026
DELIFT: Data Efficient Language model Instruction Fine-Tuning
ICLR 2025
Identifying Noise in Human-Created Datasets using Training Dynamics from Generative Models
EMNLP 2025
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation
EMNLP 2024
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
AAAI 2024
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
ACL 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
EMNLP 2023
A Comparative Analysis between Human-in-the-loop Systems and Large Language Models for Pattern Extraction Tasks
EMNLP 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
NeurIPS 2022
Cross-lingual Short-text Entity Linking: Generating Features for Neuro-Symbolic Methods
EMNLP 2022
Domain Representative Keywords Selection: A Probabilistic Approach
ACL 2022
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
ACL 2022
Stock Price Volatility Prediction: A Case Study with AutoML
EMNLP 2022
AutoText: An End-to-End AutoAI Framework for Text
AAAI 2021
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
WACV 2021
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
ACL 2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
ACL 2021
Ontology-Enriched Query Answering on Relational Databases
AAAI 2021
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision
EMNLP 2020
Knowledge Refinement via Rule Selection
AAAI 2019
Low-resource Deep Entity Resolution with Transfer and Active Learning
ACL 2019
Jellyfish: Networking Data Centers Randomly
NSDI 2012