Katerina Margatina
15 papers · 2019–2026 · 4 conferences · across top CS/AI conferences
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Conferences
ACL (7)
EMNLP (5)
EACL (2)
NIPS (1)
Top co-authors
Research topics
Keywords
active learning
(5)
large language model
(2)
data efficiency
(2)
domain adaptation
(2)
uncertainty sampling
(2)
text classification
(1)
in-context learning
(1)
few-shot learning
(1)
multilingual nlp
(1)
natural language inference
(1)
transfer learning
(1)
masked language model
(1)
text representation
(1)
factual knowledge
(1)
natural language understanding
(1)
knowledge editing
(1)
cross-lingual nlp
(1)
semantic knowledge
(1)
token classification
(1)
responsible ai
(1)
Papers
Explicit Trait Inference for Multi-Agent Coordination
ACL 2026
CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions
ACL 2025
A Study on Leveraging Search and Self-Feedback for Agent Reasoning
ACL 2025
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
NIPS 2024
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?
EMNLP 2023
Investigating Multi-source Active Learning for Natural Language Inference
EACL 2023
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
EACL 2023
On the Limitations of Simulating Active Learning
ACL 2023
Active Learning Principles for In-Context Learning with Large Language Models
EMNLP 2023
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
ACL 2022
Challenges and Strategies in Cross-Cultural NLP
ACL 2022
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
EMNLP 2021
Active Learning by Acquiring Contrastive Examples
EMNLP 2021
Domain Adversarial Fine-Tuning as an Effective Regularizer
EMNLP 2020
Attention-based Conditioning Methods for External Knowledge Integration
ACL 2019