Lightning Talks – 8 September
Submission ID |
Title |
Authors |
Publication venue |
| 11 | Digital Pathology Scanners and Contextual Integrity | Ricky Li (University of Warwick); Tom Sorell (University of Warwick) | Digital Society |
| 62 | Representing Clinical Conditions on Vital Signs from Healthy Individuals using Latent Modeling | Rafael Pina (Loughborough University London); Varuna De Silva (Loughborough University London); Mindula Illeperuma (Loughborough University London) | Proceedings of IEEE 2025 25th International Conference |
| On Digital Signal Processing. | |||
| 66 | Dirichlet latent modelling enables effective learning and sampling of the functional protein design space | Evgenii Lobzaev (The University of Edinburgh); Giovanni Stracquadanio (The University of Edinburgh) | Nature Communications |
| 79 | Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media | Jenny Chim (Queen Mary University of London); Jiayu Song (Queen Mary University of London); Maria Liakata (Queen Mary University of London) | Findings of the Association for Computational Linguistics ACL 2024 |
| 98 | Advancing Beyond CMOS: A Data-Driven Design Approach for Next-Generation Logic Devices – An Overview | Santhosh Sivasubramani (The University of Edinburgh); Vihar Georgiev (University of Glasgow); Rishad Shafik (Newcastle University); Themis Prodromakis (The University of Edinburgh) | IEEE Circuits and Systems Magazine |
| 105 | Evaluating Synthetic Data Generation from User Generated Text | Jenny Chim (Queen Mary University of London); Julia Ive (Queen Mary University of London); Maria Liakata (Queen Mary University of London) | Journal of Computational Linguistics 2025 |
| 108 | Temporal reasoning for timeline summarisation in social media | Jiayu Song (Queen Mary University of London) | ACL 2025, Vienna |
| 129 | Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification | Mahmud Akhter (Queen Mary University of London) | Findings of the Association for Computational Linguistics: ACL 2025 |
| 134 | Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care | Rachel Keys (University of Bristol); Paul Marshall (University of Bristol); Aisling Ann O’Kane (University of Bristol) | ACM CHI 2025 |
| 135 | Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches | Sam Gordon James (University of Bristol); Aisling Ann O’Kane (University of Bristol) | ACM CHI 2025 |
| 144 | The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis | Yuxiang Zhou (King’s College London); Jiazheng Li (King’s College London); Yanzheng Xiang (King’s College London); Hanqi Yan (King’s College London); Lin Gui (King’s College London); Yulan He (King’s College London) | Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing |
| 148 | Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs | Shuang Ao (University of Southampton); Yi Dong (University of Liverpool); Jinwei Hu (University of Liverpool); Sarvapali Ramchurn (University of Southampton) | Transactions of the Association for Computational Linguistics (TACL) |