| Shifts: A dataset of real distributional shift across multiple large-scale tasks A Malinin, N Band, G Chesnokov, Y Gal, MJF Gales, A Noskov, ... Advances in Neural Information Processing Systems (NeurIPS), Datasets and …, 2021 | 194 | 2021 |
| Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment V Raina, A Liusie, M Gales Empirical Methods for Natural Language Processing (EMNLP), 2024 | 111 | 2024 |
| Rewarding chatbots for real-world engagement with millions of users R Irvine, D Boubert, V Raina, A Liusie, Z Zhu, V Mudupalli, A Korshuk, ... arXiv preprint arXiv:2303.06135, 2023 | 59* | 2023 |
| Assessment of L2 Oral Proficiency Using Self-Supervised Speech Representation Learning S Bannò, KM Knill, M Matassoni, V Raina, M Gales SLaTE @ INTERSPEECH, 2023 | 34* | 2023 |
| Universal adversarial attacks on spoken language assessment systems V Raina, M Gales, K Knill INTERSPEECH, 2020 | 27 | 2020 |
| Zerobench: An impossible visual benchmark for contemporary large multimodal models J Roberts, MR Taesiri, A Sharma, A Gupta, S Roberts, I Croitoru, ... arXiv preprint arXiv:2502.09696, 2025 | 25* | 2025 |
| Blending is all you need: Cheaper, better alternative to trillion-parameters llm X Lu, Z Liu, A Liusie, V Raina, V Mudupalli, Y Zhang, W Beauchamp arXiv preprint arXiv:2401.02994, 2024 | 21 | 2024 |
| Analyzing Biases to Spurious Correlations in Text Classification Tasks A Liusie, V Raina, V Raina, M Gales Asia-Pacific Chapter of the Association for Computational Linguistic (AACL), 2022 | 18 | 2022 |
| LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History A Gupta, I Sheth, V Raina, M Gales, M Fritz Empirical Methods for Natural Language Processing (EMNLP), 2024 | 14 | 2024 |
| CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models P Manakul, Y Fathullah, A Liusie, V Raina, V Raina, M Gales BioNLP Workshop at Association for Computational Linguistics (ACL), 2023 | 14 | 2023 |
| Residue-Based Natural Language Adversarial Attack Detection V Raina, M Gales North American Chapter of the Association for Computational Linguistics (NAACL), 2022 | 14 | 2022 |
| Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models V Raina, R Ma, C McGhee, K Knill, M Gales Empirical Methods for Natural Language Processing (EMNLP), 2024 | 11 | 2024 |
| Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Multi-Task Automatic Speech Recognition Models V Raina, M Gales 2024 IEEE Spoken Language Technology Workshop (SLT), 208-215, 2024 | 7* | 2024 |
| Extreme miscalibration and the illusion of adversarial robustness V Raina, S Tan, V Cevher, A Rawal, S Zha, G Karypis Assocation for Computational Linguistics (ACL), 2024 | 5 | 2024 |
| Identifying Adversarially Attackable and Robust Samples V Raina, M Gales AdvML Frontiers workshop at International Conference on Machine Learning (ICML), 2023 | 5 | 2023 |
| Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks? V Raina, M Gales, Y Lu Asia-Pacific Chapter of the Association for Computational Linguistic (AACL), 2022 | 4 | 2022 |
| Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems V Raina, M Gales Asia-Pacific Chapter of the Association for Computational Linguistic (AACL), 2023 | 3 | 2023 |
| Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs R Ma, M Qian, V Raina, M Gales, K Knill Empirical Methods for Natural Language Processing (EMNLP) Findings, 2025 | 1 | 2025 |
| Sample Attackability in Natural Language Adversarial Attacks V Raina, M Gales TrustNLP Workshop at Association for Computational Linguistics (ACL), 2023 | 1 | 2023 |
| Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems V Raina, M Gales AdvML Frontiers workshop at International Conference on Machine Learning (ICML), 2023 | 1 | 2023 |
Mark GalesCambridge UniversityVerified email at eng.cam.ac.uk
