Publications

A selected list of journal articles, conference papers, and workshop contributions. Click any title for the abstract, key contributions, and citation. For a complete and continuously updated list, see my Google Scholar profile.

8 publications
journal · 2026

Attention-Guided Federated Learning for Privacy-Preserving Clinical NLP

Abhiraj Bibhar, Lin Chen, Tunde Okafor · Journal of Machine Learning Research (JMLR)

Machine LearningPrivacyNLP
Abstract PDF DOI Publisher
conference · 2025

Human-in-the-Loop Interfaces for Trustworthy AI Decision Support

Abhiraj Bibhar, Riya Patel · ACM CHI Conference on Human Factors in Computing Systems

HCITrustworthy AI
Abstract PDF DOI Publisher
journal · 2025

A Survey of Explainability Methods for Graph Neural Networks

Tunde Okafor, Abhiraj Bibhar · ACM Computing Surveys

Explainable AIGraph Learning
Abstract PDF DOI Publisher
conference · 2024

Low-Resource Adaptation of Large Language Models for Regional Dialects

Abhiraj Bibhar, Aditi Singh, Yue Zhou · Conference on Empirical Methods in Natural Language Processing (EMNLP)

NLPLow-resource
Abstract PDF DOI Publisher
journal · 2024

Fairness-Aware Ranking in Multi-Stakeholder Recommender Systems

Lin Chen, Abhiraj Bibhar · IEEE Transactions on Knowledge and Data Engineering

FairnessRecommender Systems
Abstract PDF DOI Publisher
workshop · 2023

Toward Reproducible Benchmarks in Federated Learning Research

Abhiraj Bibhar · Workshop on Reproducibility in ML (NeurIPS Workshop)

Federated LearningReproducibility
Abstract PDF DOI Publisher