Yassir Fathullah
13 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
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Keywords
out-of-distribution detection
(3)
large language model
(3)
knowledge distillation
(3)
deep learning
(2)
machine translation
(2)
speech recognition
(2)
word error rate
(2)
active learning
(2)
uncertainty estimation
(2)
named entity recognition
(2)
sequence labeling
(2)
speech translation
(2)
closed-form solution
(1)
token classification
(1)
computational efficiency
(1)
ensemble learning
(1)
cross-modal learning
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state space model
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pairwise comparison
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Papers
Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge
UAI 2025
Cross-Lingual Transfer Learning for Speech Translation
NAACL 2025
Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models
ACL 2024
AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs
NAACL 2024
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons
EMNLP 2024
Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies
EACL 2024
Efficient Sample-Specific Encoder Perturbations
NAACL 2024
Multi-Head State Space Model for Speech Recognition
INTERSPEECH 2023
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
ACL 2023
Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties
UAI 2023
Self-distribution distillation: efficient uncertainty estimation
UAI 2022
Subsequence Based Deep Active Learning for Named Entity Recognition
IJCNLP 2021
Subsequence Based Deep Active Learning for Named Entity Recognition
ACL 2021