Lorenzo Malandri
12 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (5) π Renaissance Researcher (8) πΊοΈ Taxonomy Completionist (28)
π
Interdisciplinary Bridge
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Cross-Pollinator
(15)
πΊοΈ
Taxonomy Completionist
(28)
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(61)
π
Century Club
(10)
Conferences
AAAI (4)
EACL (3)
COLING (2)
IJCAI (2)
NAACL (1)
Top co-authors
Keywords
word embedding
(4)
contrastive explanation
(2)
large language model
(2)
job recommendation
(2)
distributional semantics
(2)
text classification
(2)
job advertisement
(2)
binary decision diagram
(2)
semantic similarity
(2)
information retrieval
(1)
model interpretability
(1)
entity linking
(1)
knowledge base
(1)
knowledge graph
(1)
explainable ai
(1)
multilingual nlp
(1)
recommender system
(1)
retrieval-augmented generation
(1)
multilingual processing
(1)
evaluation metric
(1)
Papers
SkiLLens: Recognising and Mapping Novel Skills from Millions of Job Ads Across Europe Using Language Models
EACL 2026
Safe-Unsafe Concept Separation Emerges from a Single Direction in Language Models Activation Space
EACL 2026
RE-FIN: Retrieval-based Enrichment for Financial data
COLING 2025
HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent
EACL 2024
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers
IJCAI 2022
Contrastive Explanations of Text Classifiers as a Service
NAACL 2022
JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract)
AAAI 2022
NEO: A System for Identifying New Emerging Occupation from Job Ads
AAAI 2021
Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract)
AAAI 2021
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract)
AAAI 2021
Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem
IJCAI 2021
Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets
COLING 2020