Arjun Subramonian
13 papers · 2021–2025 · 7 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.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
🗺️ Taxonomy Completionist (23) 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 👥 Mega-Team · Legion
🏆
Grand Slam
💎
Century Club · Bronze
🗃️
Keyword Collector
(73)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(13)
Application Areas
(9)
Deep Learning
(6)
Artificial Intelligence
(5)
Natural Language Processing
(5)
Resources & Methods
(5)
Core AI
(4)
Optimization & Theory
(4)
Architectures
(3)
Core Methods
(3)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Keywords
graph neural network
(2)
multilingual language model
(2)
bias evaluation
(2)
gender bia
(2)
prompt engineering
(1)
ridge regression
(1)
algorithmic fairness
(1)
graph representation
(1)
self-supervised learning
(1)
graph structure
(1)
neural network optimization
(1)
message passing
(1)
machine learning
(1)
random projection
(1)
language model
(1)
code-mixed text
(1)
bias mitigation
(1)
synthetic data
(1)
node classification
(1)
social network
(1)
Papers
An Effective Theory of Bias Amplification
ICLR 2025
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
NAACL 2025
Strong Model Collapse
ICLR 2025
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
ICML 2024
Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP
ACL 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
NeurIPS 2024
Understanding “Democratization” in NLP and ML Research
EMNLP 2024
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
ACL 2023
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages
EMNLP 2023
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs
NeurIPS 2022
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings
ACL 2022
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
EMNLP 2021
MOTIF-Driven Contrastive Learning of Graph Representations
AAAI 2021