Daniel Simig
6 papers · 2022–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
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Hot Topic Early Bird
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Mega-Team · Squad
Venues
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Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Natural Language Processing
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Resources & Methods
(3)
Application Areas
(2)
Core AI
(2)
Core Methods
(2)
Generation
(2)
Learning Paradigms
(2)
Models
(2)
Architectures
(1)
Optimization & Theory
(1)
Keywords
few-shot learning
(2)
zero-shot learning
(2)
gradient-based optimization
(1)
machine translation
(1)
natural language inference
(1)
in-context learning
(1)
cross-lingual transfer
(1)
model evaluation
(1)
bias detection
(1)
web corpus
(1)
generative model
(1)
language model
(1)
data selection
(1)
adversarial example
(1)
open vocabulary
(1)
extreme classification
(1)
multi-scale attention
(1)
document deduplication
(1)
multilingual language model
(1)
seq2seq model
(1)
Papers
D4: Improving LLM Pretraining via Document De-Duplication and Diversification
NeurIPS 2023
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
NeurIPS 2023
Understanding In-Context Learning via Supportive Pretraining Data
ACL 2023
Few-shot Learning with Multilingual Generative Language Models
EMNLP 2022
Open Vocabulary Extreme Classification Using Generative Models
ACL 2022
Text Characterization Toolkit (TCT)
AACL 2022