Mark Gales
50 papers · 2016–2025 · 11 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (73) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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(15)
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Keyword Pioneer
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Renaissance Researcher
(9)
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Unstoppable · Silver
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The Questioner
(5)
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Prolific Year · Prolific
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Century Club · Silver
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Trend Setter
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Keyword Collector
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Venues
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Research topics
Machine Learning
(33)
Artificial Intelligence
(25)
Natural Language Processing
(19)
Core AI
(18)
Learning Types
(17)
Deep Learning
(12)
Application Areas
(10)
Applications
(9)
Optimization & Theory
(8)
Speech & Audio
(7)
Core Methods
(7)
Generation
(7)
Recognition
(7)
Learning Paradigms
(6)
Architectures
(5)
Keywords
large language model
(7)
zero-shot learning
(5)
uncertainty estimation
(5)
pairwise comparison
(4)
text classification
(4)
automatic speech recognition
(4)
out-of-distribution detection
(4)
uncertainty quantification
(3)
comparative assessment
(3)
prior network
(3)
reading comprehension
(3)
abstractive summarization
(3)
spoken language assessment
(3)
attention mechanism
(2)
dirichlet distribution
(2)
model robustness
(2)
information theory
(2)
foundation model
(2)
natural language processing
(2)
adversarial robustness
(2)
Papers
Cross-Lingual Transfer Learning for Speech Translation
NAACL 2025
Finetuning LLMs for Comparative Assessment Tasks
COLING 2025
Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge
UAI 2025
SkillAggregation: Reference-free LLM-Dependent Aggregation
ACL 2025
Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs
EMNLP 2025
Unlearning vs. Obfuscation: Are We Truly Removing Knowledge?
EMNLP 2025
An Information-Theoretic Approach to Analyze NLP Classification Tasks
ACL 2024
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons
EMNLP 2024
Efficient Sample-Specific Encoder Perturbations
NAACL 2024
Highly Intelligible Speaker-Independent Articulatory Synthesis
Interspeech 2024
Investigating the Emergent Audio Classification Ability of ASR Foundation Models
NAACL 2024
Is It Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models
COLING 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
EMNLP 2024
LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
EACL 2024
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
EMNLP 2024
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models
EMNLP 2024
On the Usefulness of Speaker Embeddings for Speaker Retrieval in the Wild: A Comparative Study of x-vector and ECAPA-TDNN Models
Interspeech 2024
Question-Based Retrieval using Atomic Units for Enterprise RAG
EMNLP 2024
Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models
ACL 2024
WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models
NAACL 2024
Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies
EACL 2024
Assessing Distractors in Multiple-Choice Tests
AACL 2023
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
ACL 2023
Minimum Bayes’ Risk Decoding for System Combination of Grammatical Error Correction Systems
IJCNLP 2023
Mitigating Word Bias in Zero-shot Prompt-based Classifiers
IJCNLP 2023
MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization
IJCNLP 2023
Sample Attackability in Natural Language Adversarial Attacks
ACL 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
EMNLP 2023
“World Knowledge” in Multiple Choice Reading Comprehension
EACL 2023
Analyzing Biases to Spurious Correlations in Text Classification Tasks
AACL 2022
Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension
ACL 2022
Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks?
AACL 2022
On Assessing and Developing Spoken ’Grammatical Error Correction’ Systems
NAACL 2022
Residue-Based Natural Language Adversarial Attack Detection
NAACL 2022
View-Specific Assessment of L2 Spoken English
Interspeech 2022
Long-Span Summarization via Local Attention and Content Selection
ACL 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
NeurIPS 2021
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
EMNLP 2021
Uncertainty Estimation in Autoregressive Structured Prediction
ICLR 2021
Complementary Systems for Off-Topic Spoken Response Detection
ACL 2020
Ensemble Distribution Distillation
ICLR 2020
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
NeurIPS 2019
Active Memory Networks for Language Modeling
Interspeech 2018
A Deep Learning Approach to Assessing Non-native Pronunciation of English Using Phone Distances
Interspeech 2018
Automatic Speech Recognition System Development in the "Wild"
Interspeech 2018
Impact of ASR Performance on Free Speaking Language Assessment
Interspeech 2018
Predictive Uncertainty Estimation via Prior Networks
NeurIPS 2018
Speaker Adaptation and Adaptive Training for Jointly Optimised Tandem Systems
Interspeech 2018
Incorporating Uncertainty into Deep Learning for Spoken Language Assessment
ACL 2017
Off-topic Response Detection for Spontaneous Spoken English Assessment
ACL 2016