Publications
2026
iAgentBench: Benchmarking Sensemaking Capabilities of Information-Seeking Agents on High-Traffic Topics Special Interest Group on Information Retrieval (SIGIR), 2026
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation EACL, Mar 24, 2026
Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents International Conference on Supercomputing, Mar 23, 2026
Agentic AI for Information Retrieval ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), Mar 22, 2026
2025
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users NeurIPS, Nov 18, 2025
Developing a framework for auditing large language models using human-in-the-loop 5SIGIR-AP, Sep 11, 2025
The Order Effect: Investigating Prompt Sensitivity in Closed-Source LLMs KDD, Jul 1, 2025
How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions Agentic & GenAI Evaluation, KDD 2025
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency
CCGrid 2025
The Order Effect: Investigating Prompt Sensitivity in Closed-Source LLMs
KDD 2025
2024
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
EMNLP 2024
AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach
The Conference on Information and Knowledge Management (CIKM), 2024
2023
What is Lost in Knowledge Distillation?
Peyman Passban, Manas Mohanty, Tanya Roosta
NeurIPS 2023 3rd Workshop on Efficient Natural Language and Speech Processing
Once-for-All Federated Learning: Learning from and Deploying to Heterogeneous Clients
Kamala Varma, Enmao Diao, Tanya Roosta, Jie Ding
FL NeurIPS, 2023
Quantifying Catastrophic Forgetting in Continual Federated Learning
Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya Roosta, Rahul Gupta
2023 IEEE International Conference on Acoustics, Speech and Signal Processing
Data Augmentation and Model Ensembling for Detection of Online Sexism
Feely, W., Gupta, P., Mohanty, M. R., Chon, T., Kundu, T., Singh, V., Atluri, S., Roosta, T., Ghaderi, V., & Schulam
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
2022
Training Mixed-Domain Translation Models via Federated Learning
Peyman Passban, Tanya Roosta, Rahul Gupta, Ankit Chadha
North American Chapter of Association for Computational Linguistics (NAACL), 2022
PerFedSI: A Framework for Personalized Federated Learning with Side Information
Liam Collins, Enmao Diao, Tanya Roosta, Jie Ding
FL-NeurIPS 2022
Learning from Federated Learning in Real World
Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta
2022 IEEE International Conference on Acoustics, Speech and Signal Processing
2021
Communication-Efficient Federated Learning for Neural Machine Translation
Tanya Roosta, Peyman Passban
NeurIPS 2021 Efficient Natural Language and Speech Processing (ENLSP)
Earlier Works
Rethinking security properties, threat models, and the design space in sensor networks: A case study in SCADA systems
Alavaro Cardenas, T Roosta, S Sastry
Ad Hoc Networks 7 (8), 1434-1447, 2009
An intrusion detection system for wireless process control systems
T Roosta, DK Nilsson, U Lindqvist, A Valdes
2008 5th IEEE international conference on mobile ad hoc and sensor systems, 2008
Convergence analysis of reweighted sum-product algorithms
TG Roosta, MJ Wainwright, Shankar S Sastry