Elaine Zosa
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Bronze
👥
Mega-Team · Squad
🧬
Topic Evolution
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Unstoppable · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Natural Language Processing
(5)
Core AI · Artificial Intelligence
(4)
Learning Types · Machine Learning
(4)
Resources & Methods
(4)
Deep Learning
(3)
Core Methods
(3)
Applications
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Core AI · Computer Vision
(1)
Generation
(1)
Keywords
multimodal learning
(3)
hallucination detection
(2)
natural language processing
(2)
multilingual nlp
(2)
cross-lingual transfer
(2)
image representation
(1)
natural language generation
(1)
machine translation
(1)
paraphrase generation
(1)
neural topic model
(1)
definition modeling
(1)
instruction tuning
(1)
natural language understanding
(1)
semantic similarity
(1)
pretrained embedding
(1)
generative model
(1)
knowledge graph
(1)
semantic representation
(1)
text representation
(1)
zero-shot learning
(1)
Papers
SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
SemEval 2025
SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
SemEval 2024
Grounded and well-rounded: a methodological approach to the study of cross-modal and cross-lingual grounding
EMNLP 2023
EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity
SemEval 2022
Multilingual and Multimodal Topic Modelling with Pretrained Embeddings
COLING 2022
EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions
EACL 2021
Interesting cross-border news discovery using cross-lingual article linking and document similarity
EACL 2021
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection
SemEval 2020