Lucian Popa
24 papers · 2012–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(8)
🤝
Dynamic Duo
(10)
👥
Mega-Team
(30)
🗃️
Keyword Collector
(98)
💎
Century Club
(23)
🚀
Conference Pioneer
⚡
Prolific Year
(6)
📈
Trend Setter
❓
The Questioner
🔥
Unstoppable
(7)
Conferences
EMNLP (7)
ACL (6)
AAAI (5)
IJCNLP (2)
ICLR (1)
NIPS (1)
NSDI (1)
WACV (1)
Top co-authors
Keywords
text classification
(4)
knowledge base
(3)
first-order logic
(3)
active learning
(3)
entity linking
(3)
hyperparameter optimization
(2)
domain adaptation
(2)
box embedding
(2)
transfer learning
(2)
entity resolution
(2)
natural language explanation
(2)
large language model
(2)
knowledge graph
(2)
weak supervision
(2)
automated machine learning
(2)
short text
(2)
model evaluation
(1)
natural language processing
(1)
natural language inference
(1)
data subset selection
(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
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
AAAI 2024
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation
EMNLP 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
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
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
NIPS 2022
A Comparative Analysis between Human-in-the-loop Systems and Large Language Models for Pattern Extraction Tasks
EMNLP 2022
Stock Price Volatility Prediction: A Case Study with AutoML
EMNLP 2022
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
WACV 2021
Ontology-Enriched Query Answering on Relational Databases
AAAI 2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
IJCNLP 2021
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
IJCNLP 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
AutoText: An End-to-End AutoAI Framework for Text
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