| Link prediction in heterogeneous data via generalized coupled tensor factorization B Ermiş, E Acar, AT Cemgil Data Mining and Knowledge Discovery 29 (1), 203-236, 2015 | 179 | 2015 |
| Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning T Zadouri, A Üstün, A Ahmadian, B Ermiş, A Locatelli, S Hooker arXiv preprint arXiv:2309.05444, 2023 | 171 | 2023 |
| Global mmlu: Understanding and addressing cultural and linguistic biases in multilingual evaluation S Singh, A Romanou, C Fourrier, DI Adelani, JG Ngui, D Vila-Suero, ... Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025 | 116 | 2025 |
| Linear Bandits with Stochastic Delayed Feedback C Vernade, A Carpentier, T Lattimore, G Zappella, B Ermis, M Brueckner ICML, 2020 | 101 | 2020 |
| Memory efficient continual learning with transformers B Ermis, G Zappella, M Wistuba, A Rawal, C Archambeau Advances in Neural Information Processing Systems 35, 10629-10642, 2022 | 89 | 2022 |
| Elo uncovered: Robustness and best practices in language model evaluation M Boubdir, E Kim, B Ermis, S Hooker, M Fadaee Advances in Neural Information Processing Systems 37, 106135-106161, 2024 | 65 | 2024 |
| The multilingual alignment prism: Aligning global and local preferences to reduce harm A Ahmadian, B Ermis, S Goldfarb-Tarrant, J Kreutzer, M Fadaee, ... arXiv preprint arXiv:2406.18682, 2024 | 56 | 2024 |
| On the challenges of using black-box APIs for toxicity evaluation in research L Pozzobon, B Ermis, P Lewis, S Hooker arXiv preprint arXiv:2304.12397, 2023 | 56 | 2023 |
| Investigating Continual Pretraining in Large Language Models: Insights and Implications BE Çağatay Yıldız, Nishaanth Kanna Ravichandran, Nitin Sharma, Matthias Bethge Transactions on Machine Learning Research, 2025 | 55* | 2025 |
| Aya expanse: Combining research breakthroughs for a new multilingual frontier J Dang, S Singh, D D'souza, A Ahmadian, A Salamanca, M Smith, ... arXiv preprint arXiv:2412.04261, 2024 | 43 | 2024 |
| Link prediction via generalized coupled tensor factorisation B Ermiş, E Acar, AT Cemgil arXiv preprint arXiv:1208.6231, 2012 | 42 | 2012 |
| The leaderboard illusion S Singh, Y Nan, A Wang, D D'Souza, S Kapoor, A Üstün, S Koyejo, ... arXiv preprint arXiv:2504.20879, 2025 | 38 | 2025 |
| Goodtriever: Adaptive toxicity mitigation with retrieval-augmented models L Pozzobon, B Ermis, P Lewis, S Hooker arXiv preprint arXiv:2310.07589, 2023 | 29 | 2023 |
| PASHA: Efficient HPO and NAS with progressive resource allocation O Bohdal, L Balles, M Wistuba, B Ermis, C Archambeau, G Zappella arXiv preprint arXiv:2207.06940, 2022 | 27 | 2022 |
| Continual learning with transformers for image classification B Ermis, G Zappella, M Wistuba, A Rawal, C Archambeau Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
| Command a: An enterprise-ready large language model T Cohere, A Ahmadian, M Ahmed, J Alammar, M Alizadeh, Y Alnumay, ... arXiv preprint arXiv:2504.00698, 2025 | 26 | 2025 |
| Learning to Rank in the Position Based Model with Bandit Feedback B Ermis, P Ernst, Y Stein, G Zappella CIKM, 2405-2412, 2020 | 26 | 2020 |
| A Bayesian tensor factorization model via variational inference for link prediction B Ermis, AT Cemgil arXiv preprint arXiv:1409.8276, 2014 | 24 | 2014 |
| Optimal weight learning for coupled tensor factorization with mixed divergences U Şimşekli, B Ermiş, AT Cemgil, E Acar 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 24 | 2013 |
| Exact MCMC with Differentially Private Moves Y Sinan, B Ermis Statistics and Computing 28 (123), 1-17, 2019 | 23* | 2019 |
Sara HookerAdaptionVerified email at adaptionlabs.ai
