Syrielle Montariol
23 papers · 2020–2026 · 11 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.
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🗺️ Taxonomy Completionist (49) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Mega-Team · Civilization
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Natural Language Processing
(16)
Artificial Intelligence
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Machine Learning
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Deep Learning
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Core Methods
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Computer Vision
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Keywords
large language model
(4)
commonsense reasoning
(3)
contextual embedding
(3)
semantic change detection
(3)
multimodal learning
(3)
benchmark evaluation
(2)
semantic change
(2)
in-context learning
(2)
vision-language model
(2)
multilingual language model
(2)
ensemble learning
(1)
clustering analysis
(1)
sampling strategy
(1)
visual question answering
(1)
text classification
(1)
anomaly detection
(1)
natural language processing
(1)
cross-lingual transfer
(1)
sentiment analysis
(1)
binary classification
(1)
Papers
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
ACL 2026
DRIVINGVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios
EACL 2026
CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments
EMNLP 2025
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
ICLR 2025
Intrinsic User-Centric Interpretability through Global Mixture of Experts
ICLR 2025
PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection
NAACL 2025
VinaBench: Benchmark for Faithful and Consistent Visual Narratives
CVPR 2025
ConGeo: Robust Cross-view Geo-localization across Ground View Variations
ECCV 2024
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
AAAI 2024
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models
EMNLP 2024
JobSkape: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching
EACL 2024
Rethinking Skill Extraction in the Job Market Domain using Large Language Models
EACL 2024
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
EMNLP 2023
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks
EMNLP 2023
Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings
ACL 2022
Fine-tuning and Sampling Strategies for Multimodal Role Labeling of Entities under Class Imbalance
ACL 2022
Knowledge informed sustainability detection from short financial texts
EMNLP 2022
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models
AACL 2022
Measure and Evaluation of Semantic Divergence across Two Languages
ACL 2021
Scalable and Interpretable Semantic Change Detection
NAACL 2021
Detecting Omissions of Risk Factors in Company Annual Reports
COLING 2020
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection
SemEval 2020
Variations in Word Usage for the Financial Domain
COLING 2020