| Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation L Kuhn, Y Gal, S Farquhar ICLR2023 (Spotlight), 2022 | 191 | 2022 |
| CLAM: Selective Clarification for Ambiguous Questions with Large Language Models L Kuhn, Y Gal, S Farquhar ICML 2023 Workshop on Deployment Challenges for Generative AI, 2022 | 25* | 2022 |
| Efficient smoothing of dilated convolutions for image segmentation T Ziegler, M Fritsche, L Kuhn, K Donhauser arXiv preprint arXiv:1903.07992, 2019 | 24 | 2019 |
| Implicit negative feedback in clinical information retrieval L Kuhn, C Eickhoff Medical Information Retrieval Workshop at ACM SIGIR 2016, 2016 | 16 | 2016 |
| Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks I Girardi, P Ji, A Nguyen, N Hollenstein, A Ivankay, L Kuhn, C Marchiori, ... Health Text Mining and Information Analysis workshop at EMNLP 2018, 2018 | 15 | 2018 |
| Robustness to pruning predicts generalization in deep neural networks L Kuhn, C Lyle, AN Gomez, J Rothfuss, Y Gal arXiv preprint arXiv:2103.06002, 2021 | 13 | 2021 |
| ETH Zurich at TREC Clinical Decision Support 2016. S Greuter, P Junker, L Kuhn, F Mance, V Mermet, A Rellstab, C Eickhoff TREC, 2016 | 6 | 2016 |
| Detecting Hallucinations in Large Language Models Using Semantic Entropy J Kossen, S Farquhar, L Kuhn, Y Gal Nature 630 (8017), 2024 | 5* | 2024 |
| ETH Zurich at TREC 2016 Clinical Decision Support S Greuter, P Junker, L Kuhn, F Mance, V Mermet, A Rellstab, C Eickhoff NIST Special Publication 500-321: The Twenty-Fifth Text REtrieval Conference …, 2016 | 4 | 2016 |
| QUESTIONS WITH LARGE LANGUAGE MODELS L Kuhn, Y Gal, S Farquhar arXiv preprint arXiv:2212.07769, 2022 | | 2022 |
Yarin GalAssociate Professor, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
