| How far can camels go? exploring the state of instruction tuning on open resources Y Wang, H Ivison, P Dasigi, J Hessel, T Khot, K Chandu, D Wadden, ... Advances in Neural Information Processing Systems 36, 2024 | 142 | 2024 |
| Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 H Ivison, Y Wang, V Pyatkin, N Lambert, M Peters, P Dasigi, J Jang, ... arXiv preprint arXiv:2311.10702, 2023 | 41 | 2023 |
| Local interpretations for explainable natural language processing: A survey S Luo, H Ivison, SC Han, J Poon ACM Computing Surveys, 2021 | 27 | 2021 |
| OLMo: Accelerating the Science of Language Models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... arXiv preprint arXiv:2402.00838, 2024 | 16 | 2024 |
| HINT: Hypernetwork Instruction Tuning for Efficient Zero-and Few-Shot Generalisation H Ivison, A Bhagia, Y Wang, H Hajishirzi, ME Peters Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 14 | 2023 |
| Hyperdecoders: Instance-specific decoders for multi-task NLP H Ivison, ME Peters arXiv preprint arXiv:2203.08304, 2022 | 13 | 2022 |
| Data-Efficient Finetuning Using Cross-Task Nearest Neighbors H Ivison, NA Smith, H Hajishirzi, P Dasigi arXiv preprint arXiv:2212.00196, 2022 | 10 | 2022 |
| TESS: Text-to-Text Self-Conditioned Simplex Diffusion RK Mahabadi, J Tae, H Ivison, J Henderson, I Beltagy, ME Peters, ... arXiv preprint arXiv:2305.08379, 2023 | 8 | 2023 |
| Would you like fries with that? Modular Multi-hop Reasoning HJ IVISON The University of Sydney Australia 18, 2020 | | 2020 |
| Backtracking Mathematical Reasoning of Language Models to the Pretraining Data Y Razeghi, H Ivison, S Singh, Y Elazar | | |
Hannaneh HajishirziUniversity of Washington; Allen AIAdresse e-mail validée de cs.washington.edu
