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Hamish Ivison
Hamish Ivison
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Year
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
1972023
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
892023
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
352024
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
332024
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
172023
Hyperdecoders: Instance-specific decoders for multi-task NLP
H Ivison, ME Peters
arXiv preprint arXiv:2203.08304, 2022
162022
Tess: Text-to-text self-conditioned simplex diffusion
RK Mahabadi, H Ivison, J Tae, J Henderson, I Beltagy, ME Peters, ...
arXiv preprint arXiv:2305.08379, 2023
142023
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors
H Ivison, NA Smith, H Hajishirzi, P Dasigi
arXiv preprint arXiv:2212.00196, 2022
112022
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, ...
arXiv preprint arXiv:2406.09279, 2024
22024
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
The Second Tiny Papers Track at ICLR 2024, 0
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Articles 1–11