Bhargavi Paranjape
12 papers · 2017–2024 · 4 venues · across top CS/AI venues
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Research topics
Machine Learning
(11)
Artificial Intelligence
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Natural Language Processing
(7)
Core AI
(7)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Application Areas
(5)
Applications
(5)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Generation
(3)
Optimization & Theory
(2)
Resources & Methods
(2)
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Models
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Keywords
few-shot learning
(2)
information bottleneck
(2)
retrieval-augmented generation
(2)
question answering
(2)
model compression
(2)
spurious correlation
(2)
out-of-distribution generalization
(2)
prototype learning
(1)
natural language inference
(1)
feature selection
(1)
machine translation
(1)
data augmentation
(1)
in-context learning
(1)
annotation projection
(1)
text representation
(1)
knowledge distillation
(1)
multi-label classification
(1)
text generation
(1)
fact verification
(1)
extractive summarization
(1)
Papers
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
EMNLP 2024
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization
ICLR 2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
ACL 2023
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
EMNLP 2022
Retrieval-guided Counterfactual Generation for QA
ACL 2022
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle
EMNLP 2021
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
EMNLP 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
ACL 2021
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
EMNLP 2020
Entity Projection via Machine Translation for Cross-Lingual NER
EMNLP 2019
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
ICML 2017
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
EMNLP 2017