Paolo Papotti
18 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Cross-Pollinator (10)
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Cross-Pollinator
(10)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(46)
π§¬
Topic Evolution
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Keyword Champion
(2)
ποΈ
Keyword Collector
(98)
π
Century Club
(17)
β‘
Prolific Year
(6)
π₯
Unstoppable
(6)
Conferences
EMNLP (7)
ACL (2)
IJCAI (2)
NAACL (2)
AISTATS (1)
COLING (1)
EACL (1)
NIPS (1)
SEMEVAL (1)
Top co-authors
Keywords
text classification
(4)
multi-label classification
(3)
large language model
(3)
claim verification
(3)
natural language inference
(2)
transformer model
(2)
model ensemble
(2)
inference efficiency
(2)
evidence retrieval
(2)
pre-trained language model
(2)
attention mechanism
(2)
transfer learning
(2)
hierarchical classification
(2)
semantic parsing
(2)
persuasion detection
(2)
question answering
(2)
sql query
(2)
information retrieval
(2)
temporal reasoning
(1)
in-context learning
(1)
Papers
CacheNotes: Task-Aware Key-Value Cache Compression for Reasoning-Intensive Knowledge Tasks
EACL 2026
TableKV: KV Cache Compression for In-Context Table Processing
ACL 2025
SQUAB: Evaluating LLM robustness to Ambiguous and Unanswerable Questions in Semantic Parsing
EMNLP 2025
Automated Detection of Tropes In Short Texts
COLING 2025
Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)
IJCAI 2025
Refining Attention for Explainable and Noise-Robust Fact-Checking with Transformers
EMNLP 2025
An LLM-Based Approach for Insight Generation in Data Analysis
NAACL 2025
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data
EMNLP 2024
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques
NAACL 2024
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques
SEMEVAL 2024
Definitions Matter: Guiding GPT for Multi-label Classification
EMNLP 2023
QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data
NIPS 2023
Neural Machine Translation for Fact-checking Temporal Claims
ACL 2022
You Are My Type! Type Embeddings for Pre-trained Language Models
EMNLP 2022
Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task
EMNLP 2021
Automated Fact-Checking for Assisting Human Fact-Checkers
IJCAI 2021
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models
EMNLP 2021
LIBRE: Learning Interpretable Boolean Rule Ensembles
AISTATS 2020