Raina, Vyas

Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment

Raina, V., Liusie, A., & Gales, M. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 40

Hidden in Memory: Sleeper Memory Poisoning in LLM Agents

Pulipaka, S., Hlebik, S., Raghav, L., Abdelnabi, S., Raina, V., Sheth, I., & Fritz, M. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 37

PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?

Pulipaka, S., Chen, O., Sharma, M., Bajwa, T. S., Raina, V., & Sheth, I. (2026) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 29

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History

Gupta, A., Sheth, I., Raina, V., Gales, M., & Fritz, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsTopic Modeling

Cited by 10

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models

Manakul, P., Fathullah, Y., Liusie, A., Raina, V., Raina, V., & Gales, M. (2023) · The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 8

Rewarding Chatbots for Real-World Engagement with Millions of Users

Irvine, R., Boubert, D., Raina, V., Liusie, A., Zhu, Z., Mudupalli, V., Korshuk, A., Liu, Z., Cremer, F., Assassi, V., et al. (2023) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 6

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models

Roberts, J., Taesiri, M. R., Sharma, A., Gupta, A., Roberts, S., Croitoru, I., Bogolin, S.-V., Tang, J., Langer, F., Raina, V., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0