Milad Shokouhi
12 papers · 2019–2024 · 6 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
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🗺️ Taxonomy Completionist (31) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Evolution
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
(2)
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Century Club · Bronze
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Keyword Collector
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Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
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Natural Language Processing
(7)
Application Areas
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Core AI
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Learning Paradigms
(4)
Deep Learning
(3)
Applications
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Generation
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Learning Types · Machine Learning
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Resources & Methods
(3)
Learning Types · Deep Learning
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Architectures
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Core Methods
(1)
Models
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Keywords
natural language generation
(2)
multilingual reply suggestion
(2)
low-resource language
(2)
cross-lingual transfer
(2)
variational autoencoder
(2)
sentiment analysis
(1)
few-shot learning
(1)
reinforcement learning
(1)
knowledge distillation
(1)
preference learning
(1)
information extraction
(1)
multi-task learning
(1)
text classification
(1)
meeting summarization
(1)
text generation
(1)
response generation
(1)
conditional generation
(1)
question generation
(1)
model pruning
(1)
natural language processing
(1)
Papers
“One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors
NAACL 2024
PREME: Preference-based Meeting Exploration through an Interactive Questionnaire
EACL 2023
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
EACL 2023
Knowledge Infused Decoding
ICLR 2022
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
NAACL 2022
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion
EMNLP 2021
A Dataset and Baselines for Multilingual Reply Suggestion
ACL 2021
Language Scaling for Universal Suggested Replies Model
NAACL 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
NAACL 2021
When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages
NAACL 2021
Differentially Private Set Union
ICML 2020
Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder
NAACL 2019