Frank Rudzicz

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation EACL 2026 Is This LLM Library Learning? Evaluation Must Account For Compute and Behaviour EACL 2026 SphereEdit: Spherical Semantic Editing in Diffusion Models WACV 2026 Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization EMNLP 2025 Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models ICLR 2025 CausalLink: An Interactive Evaluation Framework for Causal Reasoning ACL 2025 ACCORD: Closing the Commonsense Measurability Gap NAACL 2025 Trustworthy Medical Question Answering: An Evaluation-Centric Survey EMNLP 2025 Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification COLING 2024 Developing Multi-Disorder Voice Protocols: A team science approach involving clinical expertise, bioethics, standards, and DEI. INTERSPEECH 2024 Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification EMNLP 2024 Immunization against harmful fine-tuning attacks EMNLP 2024 Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation NAACL 2024 Long-form evaluation of model editing NAACL 2024 Self-Supervised Embeddings for Detecting Individual Symptoms of Depression INTERSPEECH 2024 Representation Noising: A Defence Mechanism Against Harmful Finetuning NIPS 2024 Whister: Using Whisper’s representations for Stuttering detection INTERSPEECH 2024 A State-Vector Framework for Dataset Effects EMNLP 2023 Improving Automatic Quotation Attribution in Literary Novels ACL 2023 Who needs context? Classical techniques for Alzheimer’s disease detection ACL 2023 Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric ACL 2022 Detoxifying Language Models with a Toxic Corpus ACL 2022 Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data COLING 2022 Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation ACL 2022 On the data requirements of probing ACL 2022 Neural reality of argument structure constructions ACL 2022 KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling ACL 2022 Language Modelling via Learning to Rank AAAI 2022 Predicting Fine-Tuning Performance with Probing EMNLP 2022 Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support EMNLP 2022 Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation NIPS 2021 How is BERT surprised? Layerwise detection of linguistic anomalies ACL 2021 An Evaluation of Disentangled Representation Learning for Texts ACL 2021 An unsupervised framework for tracing textual sources of moral change EMNLP 2021 How is BERT surprised? Layerwise detection of linguistic anomalies IJCNLP 2021 An Evaluation of Disentangled Representation Learning for Texts IJCNLP 2021 Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss MLHC 2021 TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction NAACL 2021 Explainable Clinical Decision Support from Text EMNLP 2020 Word class flexibility: A deep contextualized approach EMNLP 2020 Speaker Attribution with Voice Profiles by Graph-Based Semi-Supervised Learning INTERSPEECH 2020 To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer’s Disease Detection INTERSPEECH 2020 Representation Learning for Discovering Phonemic Tone Contours ACL 2020 Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP EMNLP 2020 Examining the rhetorical capacities of neural language models EMNLP 2020 An information theoretic view on selecting linguistic probes EMNLP 2020 On Losses for Modern Language Models EMNLP 2020 Augmenting word2vec with latent Dirichlet allocation within a clinical application NAACL 2019 Proceedings of the Eighth Workshop on Speech and Language Processing for Assistive Technologies NAACL 2019 Predicting ICU transfers using text messages between nurses and doctors NAACL 2019 Extracting relevant information from physician-patient dialogues for automated clinical note taking EMNLP 2019 Generative Adversarial Networks for Text Using Word2vec Intermediaries ACL 2019 Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power EMNLP 2019 How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT’s destruction NAACL 2019 Detecting cognitive impairments by agreeing on interpretations of linguistic features NAACL 2019 Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus NAACL 2019 Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling NAACL 2019 Learning multiview embeddings for assessing dementia EMNLP 2018 Speech Recognition in Alzheimer’s Disease and in its Assessment INTERSPEECH 2016 Vector-space topic models for detecting Alzheimer’s disease ACL 2016 CloudCAST — Remote Speech Technology for Speech Professionals INTERSPEECH 2016 Automatic detection of deception in child-produced speech using syntactic complexity features ACL 2013 Correcting Errors in Speech Recognition with Articulatory Dynamics ACL 2010 Proceedings of the NAACL HLT 2010 Student Research Workshop NAACL 2010 Summarizing multiple spoken documents: finding evidence from untranscribed audio IJCNLP 2009 Summarizing multiple spoken documents: finding evidence from untranscribed audio ACL 2009 Clavius: Bi-Directional Parsing for Generic Multimodal Interaction COLING 2006 Clavius: Bi-Directional Parsing for Generic Multimodal Interaction ACL 2006