All publications
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2026
| Ontology pre-training improves machine learning-based predictions for metabolites, , , , , , and , in: Plos Computational Biology, 2026 |
| Making Machine Learning Clinically Useful in Thrombosis and Hemostasis: A Roadmap for Diagnostic Translation, , , and , in: Seminars in thrombosis and hemostasis, 2026 |
| Performance evaluation of large language models in multilingual medical multiple-choice questions: mixed methods study, , , and , in: JMIR Medical Education, 12(1), 2026 |
| Application of a general large language model-based classification system to retrieve information about oncological trials, , , , and , in: Oncology, 104(4):410-420, 2026 |
| Automatically detecting trends and open questions from mental health publications: a Wellcome-funded GALENOS project, , , and , in: BMJ Mental Health, 29(1), 2026 |
| Development, validation, and user-centric evaluation of an interpretable machine learning decision support tool for the preoperative prediction of mild bleeding disorders (MBD-Check): a prospective diagnostic prediction study, , , , , and , in: The Lancet Digital Health, 8(7):101019, 2026 |
| The EU AI Act: implications and compliance guidance for healthcare facilities, , , and , in: Frontiers in Digital Health, 8:1808373, 2026 |
| OntoSpreadEd: Developing Ontologies with a Dedicated Online Template Spreadsheet Editor, , , , , and , in: Wellcome Open Research, 10:360, 2026 |
| "I'm Right Here With You": LLMs Using First-Person Language in Therapeutic Interactions, , in: Social Computing and Social Media: 18th International Conference, SCSM 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26?31, 2026, Proceedings, Part II, 2026 |
| Artificial intelligence in implementation science and practice: a living scoping review, , , , , and , in: Implementation Science, 2026 |
| Deep learning aging marker from retinal images unveils sex-specific clinical and genetic signatures, , , , , , and , in: Nature Communications, 17:10185, 2026 |
| Building an AI-Ready Evidence Base for Behavior Change, , and , in: NEJM AI, 3(9), 2026 |
| AI Methods for Implementation Science (AIM-IS): developing a framework, toolkit, and reporting standard for the responsible use of AI in implementation practice and research, , , , , and , in: Implementation Science, 21(1), 2026 |
| From Pixels to Attention: A Computational Perspective On Gaze Understanding in the Wild, , EPFL, 2026 |
| From Pixels to Attention: A Computational Perspective On Gaze Understanding in the Wild, , EPFL, 2026 |
| On the Robustness of Audio Deepfake Detection under Audio Watermarking, , , , , , and , in: IEEE MLSP, 2026 |
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| GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study, , , , and , in: The 2026 Conference on Empirical Methods in Natural Language Processing, 2026 |
| LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation, , , , and , in: Proceedings of the 20th ACM Conference on Recommender Systems, 2026 |
| Scalable Music Cover Retrieval Using Lyrics-Aligned Audio Embeddings, , , , and , in: European Conference on Information Retrieval, 2026 |
| S-VoCAL: A Dataset and Evaluation Framework for Inferring Speaking Voice Character Attributes in Literature, , , and , in: Proceedings of the Fifteenth Language Resources and Evaluation Conference, 2026 |
| Beyond Musical Descriptors: Extracting Preference-Bearing Intent in Music Queries, , and , in: Proceedings of the 4th Workshop on NLP for Music and Audio, 2026 |
| A Study of Biases in LLM-Generated Musical Taste Profiles for Recommendation, , , and , in: ACM Transactions on Recommender Systems, 2026 |
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| Music recommendation with large language models: Challenges, opportunities, and evaluation, , , , and , in: ACM Transactions on Recommender Systems, 2026 |
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| Meta-RL induces exploration in language agents, , , , and , in: International Conference on Learning Representations, 2026 |
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| How does the optimizer implicitly bias the model merging loss landscape?, , , , , and , in: International Conference on Learning Representations, 2026 |
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| Can you learn to see without images? procedural warm-up for vision transformers, , , , and , in: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 |
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| Procedural pretraining: Warming up language models with abstract data, , , , and , in: International Conference on Machine Learning, 2026 |
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| Multi-hypothesis Test-Time Adaptation to Mitigate Underspecification, , , , , and , in: European Conference on Computer Vision, 2026 |
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| Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks, , , and , in: International Conference on Learning Representations, 2026 |
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| Better Language Models Require Better Domain-Specific Inductive Biases, , , , and , in: Conference on Neural Information Processing Systems, 2026 |
| Concatenative Neural Speech Synthesis, , , and , in: IEEE SLT, 2026 |
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| SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation, , , , , , , , , and , in: EACL, 2026 |
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| Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization, , , , , , , , , , , , , and , in: Interspeech 2026, 2026 |
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| How to Leverage Synthetic Speech for LLM-Based ASR Systems?, , , , , , , , , , , and , in: IEEE Spoken Language Technology 2026, 2026 |
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| Geometric Latent Reasoning Induces Shorter Generations in LLMs, , , , and , in: The Fortieth Annual Conference on Neural Information Processing Systems, 2026 |
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| Abstract Compression of Conversational Audio Context for LLM-based ASR, , , , , , , , , and , in: IEEE Spoken Language Technology 2026, 2026 |
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| When Synthetic Speech Is All You Have: Better Call GRPO, , , , , , , and , in: IEEE Spoken Language Technology 2026, 2026 |
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| Modelling Thematic Structure in Clinical Dialogues for Interpretable Depression Detection, , , , , , and , in: Text, Speech, and Dialogue. TSD 2026. Lecture Notes in Computer Science, 2026 |
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| Data Augmentation for Pathological Speech Enhancement, , and , in: European Signal Processing Conference, 2026 |
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| DialFork: Going Beyond Factuality to Evaluate Procedural Hallucination in Conversational Agents, , , , , , and , Idiap-RR-05-2026 |
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| Select or Rewrite: Oracle-Guided Fine-Tuning for Generative ASR Post-Editing from N-Best Hypotheses, , , , , and , Idiap-RR-04-2026 |
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| Plausible but Wrong: A Statistical Evaluation of GPT Models on High-Stakes Migration Statistics, , and , in: Proceedings of the First Workshop on Pluralistic AI & NLP: Diversity-aware, Sociotechnical, Responsible Alignment (PANDORA), 2026 |
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| Quantifying Training Membership Information in the Hyperspherical Embedding Geometry of Face Recognition Models, and , in: Proceedings of 2026 IEEE International Joint Conference on Biometrics (IJCB), 2026 |
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| When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews, , , , , , and , in: LREC 2026, Palma de Mallorca, Spain, ELRA Language Resource Association, 2026 |
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| Closing the Speech-Text Gap with Limited Audio for Effective Domain Adaptation in LLM-Based ASR, , , , , , , , , , , and , in: INTERSPEECH 2026, 2026 |
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| Context Projector: Complementary Keyword and Dialogue Context Embeddings for LLM-based ASR, , , , , , , , , , and , in: INTERSPEECH 2026, 2026 |
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| No Audio, No Transcripts, No Problem: LLM-based ASR Adaptation Using Only Domain Documents, , , , , , , and , in: IEEE SLT, 2026 |
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| Avoiding Catastrophic Forgetting in Text-Only Adaptation of LLM-based ASR via Multi-View Text Denoising, , , , , , , , and , in: INTERSPEECH 2026, 2026 |
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| Web SMILE demo: a web application providing automated feedback on sign language vocabulary production, , , , , , , , , , , , , , and , in: ACM Transactions on Accessible Computing, 2026 |
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| Every Frame You Take: The Video-based Morphing Attack Detection Challenge, , , , and , in: Proceedings of 2026 IEEE International Joint Conference on Biometrics (IJCB), 2026 |
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