Budhaditya Deb
12 papers · 2019–2023 · 3 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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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (36) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (61)
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The Questioner
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(9)
Natural Language Processing
(9)
Generation
(8)
Artificial Intelligence
(6)
Machine Learning
(6)
Architectures
(4)
Learning Paradigms
(4)
Learning Types · Deep Learning
(4)
Models
(4)
Resources & Methods
(4)
Core AI
(3)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Core Methods
(2)
Optimization & Theory
(2)
Keywords
language model
(3)
text generation
(3)
abstractive summarization
(3)
zero-shot learning
(2)
long document
(2)
text summarization
(2)
multilingual reply suggestion
(2)
multi-task learning
(2)
dialogue summarization
(2)
variational autoencoder
(2)
cross-lingual transfer
(1)
semantic parsing
(1)
conditional generation
(1)
natural language understanding
(1)
attention mechanism
(1)
response generation
(1)
natural language processing
(1)
latent variable model
(1)
low-resource language
(1)
model evaluation
(1)
Papers
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models
ACL 2023
On Improving Summarization Factual Consistency from Natural Language Feedback
ACL 2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
ACL 2023
Boosting Natural Language Generation from Instructions with Meta-Learning
EMNLP 2022
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
ACL 2022
Leveraging Locality in Abstractive Text Summarization
EMNLP 2022
SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
ACL 2022
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion
EMNLP 2021
A Dataset and Baselines for Multilingual Reply Suggestion
ACL 2021
An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next
EMNLP 2021
Language Scaling for Universal Suggested Replies Model
NAACL 2021
Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder
NAACL 2019