Urmish Thakker
5 papers · 2020–2024 · 3 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
(13)
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Hot Topic Early Bird
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Mega-Team · Squad
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Research topics
Natural Language Processing
(4)
Resources & Methods
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Machine Learning
(2)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory
(1)
Keywords
model compression
(1)
benchmark evaluation
(1)
semi-supervised learning
(1)
multi-task learning
(1)
few-shot learning
(1)
matrix factorization
(1)
natural language processing
(1)
direct preference optimization
(1)
prompt engineering
(1)
intent detection
(1)
low-resource language
(1)
zero-shot generalization
(1)
instruction fine-tuning
(1)
inference efficiency
(1)
runtime optimization
(1)
domain-specific evaluation
(1)
encoder-decoder model
(1)
multilingual language model
(1)
language adaptation
(1)
natural language prompt
(1)
Papers
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
EMNLP 2024
SambaLingo: Teaching Large Language Models New Languages
EMNLP 2024
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022
Rank and run-time aware compression of NLP Applications
EMNLP 2020