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Vyas Raina
Vyas Raina
Verified email at cam.ac.uk
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Cited by
Cited by
Year
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
1132021
Universal adversarial attacks on spoken language assessment systems
V Raina, M Gales, K Knill
INTERSPEECH, 2020
132020
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
102022
Assessment of L2 Oral Proficiency Using Self-Supervised Speech Representation Learning
S Bannò, KM Knill, M Matassoni, V Raina, M Gales
SLaTE @ INTERSPEECH, 2023
9*2023
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
72023
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
72023
Residue-Based Natural Language Adversarial Attack Detection
V Raina, M Gales
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
72022
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
X Lu, A Liusie, V Raina, Y Zhang, W Beauchamp
arXiv preprint arXiv:2401.02994, 2024
22024
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems
V Raina, M Gales
AdvML Frontiers workshop at International Conference on Machine Learning (ICML), 2023
22023
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
22022
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
12023
Sample Attackability in Natural Language Adversarial Attacks
V Raina, M Gales
TrustNLP Workshop at Association for Computational Linguistics (ACL), 2023
12023
Identifying Adversarially Attackable and Robust Samples
V Raina, M Gales
AdvML Frontiers workshop at International Conference on Machine Learning (ICML), 2023
12023
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
arXiv preprint arXiv:2402.18216, 2024
2024
Extreme Miscalibration and the Illusion of Adversarial Robustness
V Raina, S Tan, V Cevher, A Rawal, S Zha, G Karypis
arXiv preprint arXiv:2402.17509, 2024
2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
V Raina, A Liusie, M Gales
arXiv preprint arXiv:2402.14016, 2024
2024
Gender Bias and Universal Substitution Adversarial Attacks on Grammatical Error Correction Systems for Automated Assessment
V Raina, M Gales
UK Speech 2022, 2022
2022
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