| 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, 74764-74786, 2023 | 311 | 2023 |
| OLMo: Accelerating the Science of Language Models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... ACL 2024 (Best Theme Paper), 2024 | 267* | 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 | 178 | 2023 |
| Local interpretations for explainable natural language processing: A survey S Luo, H Ivison, SC Han, J Poon ACM Computing Surveys 56 (9), 1-36, 2024 | 52 | 2024 |
| TULU 3: Pushing Frontiers in Open Language Model Post-Training N Lambert*, J Morrison*, V Pyatkin*, S Huang*, H Ivison*, F Brahman*, ... arXiv preprint arXiv:2411.15124, 2024 | 45* | 2024 |
| Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback H Ivison, Y Wang, J Liu, Z Wu, V Pyatkin, N Lambert, NA Smith, Y Choi, ... NeurIPS 2024, 2024 | 37 | 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 | 27 | 2023 |
| Hyperdecoders: Instance-specific decoders for multi-task NLP H Ivison, ME Peters EMNLP 2022, 2022 | 25 | 2022 |
| Tess: Text-to-text self-conditioned simplex diffusion RK Mahabadi*, H Ivison*, J Tae, J Henderson, I Beltagy, ME Peters, ... EACL 2024, 2023 | 23 | 2023 |
| Data-Efficient Finetuning Using Cross-Task Nearest Neighbors H Ivison, NA Smith, H Hajishirzi, P Dasigi ACL 2023, 2022 | 17 | 2022 |
| 2 OLMo 2 Furious T OLMo, P Walsh, L Soldaini, D Groeneveld, K Lo, S Arora, A Bhagia, ... arXiv preprint arXiv:2501.00656, 2024 | 14* | 2024 |
| Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning S Poddar*, Y Wan*, H Ivison, A Gupta, N Jaques NeurIPS 2024, 2024 | 13 | 2024 |
| Backtracking Mathematical Reasoning of Language Models to the Pretraining Data Y Razeghi*, H Ivison*, S Singh, Y Elazar The Second Tiny Papers Track at ICLR 2024, 2024 | 6 | 2024 |
| TESS 2: A Large-Scale Generalist Diffusion Language Model J Tae, H Ivison, S Kumar, A Cohan arXiv preprint arXiv:2502.13917, 2025 | | 2025 |
| Would you like fries with that? Modular Multi-hop Reasoning HJ IVISON The University of Sydney Australia 18, 2020 | | 2020 |
Hannaneh HajishirziUniversity of Washington; Allen AIПідтверджена електронна адреса в cs.washington.edu