Ramaneswaran S
9 papers · 2022–2024 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(8)
Natural Language Processing
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Artificial Intelligence
(4)
Learning Types · Machine Learning
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Application Areas
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Applications
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Core AI
(3)
Core Methods
(2)
Generation
(2)
Resources & Methods
(2)
Understanding
(2)
Deep Learning
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
data augmentation
(3)
transformer model
(2)
natural language understanding
(2)
low-resource language
(2)
large language model
(2)
named entity recognition
(1)
cross-lingual transfer
(1)
transfer learning
(1)
emotion recognition
(1)
meme analysis
(1)
sentiment classification
(1)
task-oriented dialogue
(1)
intent classification
(1)
abstract meaning representation
(1)
multimodal learning
(1)
instruction tuning
(1)
code-mixed text
(1)
commonsense knowledge
(1)
low-resource learning
(1)
text generation
(1)
Papers
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions
ACL 2024
A Closer Look at the Limitations of Instruction Tuning
ICML 2024
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP
NAACL 2024
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
ICLR 2024
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER
ACL 2023
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues
EMNLP 2023
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization
ACL 2023
Span Extraction Aided Improved Code-mixed Sentiment Classification
COLING 2022
TamilATIS: Dataset for Task-Oriented Dialog in Tamil
ACL 2022