Paolo Papotti
17 papers · 2020–2026 · 9 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.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(97)
Venues
Top co-authors
Research topics
Natural Language Processing
(13)
Machine Learning
(11)
Artificial Intelligence
(9)
Core AI
(9)
Applications Β· Natural Language Processing
(8)
Deep Learning
(5)
Core Methods
(5)
Learning Types
(5)
Architectures
(4)
Data Science & Analytics
(3)
Application Areas
(3)
Applications Β· Data Science & Analytics
(3)
Generation
(3)
Resources & Methods
(3)
Optimization & Theory
(2)
Keywords
claim verification
(3)
multi-label classification
(3)
text classification
(3)
large language model
(3)
natural language inference
(2)
question answering
(2)
attention mechanism
(2)
sql query
(2)
evidence retrieval
(2)
inference efficiency
(2)
semantic parsing
(2)
information retrieval
(2)
pre-trained language model
(2)
temporal reasoning
(1)
hierarchical classification
(1)
in-context learning
(1)
zero-shot learning
(1)
fact verification
(1)
text generation
(1)
knowledge transfer
(1)
Papers
CacheNotes: Task-Aware Key-Value Cache Compression for Reasoning-Intensive Knowledge Tasks
EACL 2026
An LLM-Based Approach for Insight Generation in Data Analysis
NAACL 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
SQUAB: Evaluating LLM robustness to Ambiguous and Unanswerable Questions in Semantic Parsing
EMNLP 2025
TableKV: KV Cache Compression for In-Context Table Processing
ACL 2025
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques
SemEval 2024
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data
EMNLP 2024
Definitions Matter: Guiding GPT for Multi-label Classification
EMNLP 2023
QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data
NeurIPS 2023
Neural Machine Translation for Fact-checking Temporal Claims
ACL 2022
You Are My Type! Type Embeddings for Pre-trained Language Models
EMNLP 2022
Automated Fact-Checking for Assisting Human Fact-Checkers
IJCAI 2021
Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task
EMNLP 2021
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models
EMNLP 2021
LIBRE: Learning Interpretable Boolean Rule Ensembles
AISTATS 2020