Siddhartha Brahma
7 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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Venues
Top co-authors
Research topics
Machine Learning
(5)
Natural Language Processing
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Applications
(2)
Core AI
(2)
Learning Types Β· Machine Learning
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Architectures
(1)
Core Methods
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Methods
(1)
Keywords
conditional computation
(2)
knowledge transfer
(1)
sparse activation
(1)
language modeling
(1)
semantic role labeling
(1)
long-range transformers
(1)
syntactic parsing
(1)
efficient computing
(1)
parameter-efficient transfer learning
(1)
text simplification
(1)
first-order logic
(1)
low-resource language
(1)
benchmark dataset
(1)
language model
(1)
few-shot learning
(1)
instruction fine-tuning
(1)
interpretable model
(1)
feed-forward network
(1)
model scaling
(1)
model compression
(1)
Papers
Scaling Instruction-Finetuned Language Models
JMLR 2024
CoLT5: Faster Long-Range Transformers with Conditional Computation
EMNLP 2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
NeurIPS 2023
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling
EMNLP 2020
Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification
EMNLP 2020
Small but Mighty: New Benchmarks for Split and Rephrase
EMNLP 2020
Improved Language Modeling by Decoding the Past
ACL 2019