Alex Fabbri
9 papers · 2022–2023 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 🏆 Keyword Champion
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Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(8)
Natural Language Processing
(7)
Deep Learning
(6)
Generation
(6)
Learning Types · Machine Learning
(6)
Artificial Intelligence
(3)
Application Areas
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Core AI
(2)
Models
(2)
Optimization & Theory
(2)
Applications
(1)
Learning Paradigms
(1)
Techniques
(1)
Keywords
text summarization
(5)
abstractive summarization
(4)
large language model
(3)
prompt engineering
(2)
summarization evaluation
(2)
self-supervised learning
(1)
unsupervised pretraining
(1)
transfer learning
(1)
opinion summarization
(1)
pre-trained language model
(1)
sentence compression
(1)
text classification
(1)
educational resources
(1)
bert model
(1)
bert language model
(1)
question answering
(1)
question generation
(1)
error detection
(1)
factual accuracy
(1)
feature extraction
(1)
Papers
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation
ACL 2023
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization
ACL 2023
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
EMNLP 2023
Generating EDU Extracts for Plan-Guided Summary Re-Ranking
ACL 2023
Prompted Opinion Summarization with GPT-3.5
ACL 2023
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
ACL 2023
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization
ACL 2023
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
ACL 2023
Improving Factual Consistency in Summarization with Compression-Based Post-Editing
EMNLP 2022