Peyman Heidari
5 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Natural Language Processing
(4)
Artificial Intelligence
(3)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Applications · Natural Language Processing
(2)
Core AI
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Data Science & Analytics
(1)
Applications · Data Science & Analytics
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
natural language generation
(2)
knowledge distillation
(2)
semantic correctness
(2)
acceptability classifier
(2)
visual reasoning
(1)
sensor fusion
(1)
modality alignment
(1)
dense retrieval
(1)
synthetic data generation
(1)
parameter efficient
(1)
memory efficiency
(1)
model compression
(1)
pre-trained model
(1)
vision-language model
(1)
data efficiency
(1)
sequence-to-sequence model
(1)
hybrid retrieval
(1)
sparse retrieval
(1)
grammatical correctness
(1)
hybrid retriever
(1)
Papers
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
EMNLP 2024
A Study on the Efficiency and Generalization of Light Hybrid Retrievers
ACL 2023
Building Adaptive Acceptability Classifiers for Neural NLG
EMNLP 2021
Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task
ACL 2021
Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data
COLING 2020