Akshita Jha
5 papers · 2023–2024 · 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.
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Research topics
Artificial Intelligence
(4)
Deep Learning
(4)
Machine Learning
(4)
Core AI
(4)
Application Areas · Machine Learning
(3)
Natural Language Processing
(2)
Applications · Natural Language Processing
(2)
Architectures
(2)
Learning Types
(2)
Models
(2)
Computer Science
(1)
Computer Vision
(1)
Application Areas · Deep Learning
(1)
Applications · Computer Science
(1)
Generation
(1)
Keywords
generative model
(3)
stereotype detection
(2)
social bia
(2)
bias detection
(1)
code generation
(1)
text-to-image generation
(1)
natural language understanding
(1)
adversarial attack
(1)
black-box attack
(1)
benchmark dataset
(1)
feed-forward network
(1)
pre-trained language model
(1)
code repair
(1)
dataset curation
(1)
document embedding
(1)
long document matching
(1)
code translation
(1)
bias evaluation
(1)
code summarization
(1)
transformer-based model
(1)
Papers
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
ACL 2024
Building Stereotype Repositories with Complementary Approaches for Scale and Depth
EACL 2023
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
AAAI 2023
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
ACL 2023
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis
EACL 2023