Hamish Ivison

According to our database, Hamish Ivison authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

TESS: Text-to-Text Self-Conditioned Simplex Diffusion.

Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2023

TESS: Text-to-Text Self-Conditioned Simplex Diffusion.

Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan

CoRR, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-Efficient Finetuning Using Cross-Task Nearest Neighbors.

Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation.

Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation.

Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters

CoRR, 2022

Hyperdecoders: Instance-specific decoders for multi-task NLP.

Hamish Ivison, Matthew E. Peters

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Local Interpretations for Explainable Natural Language Processing: A Survey.

Siwen Luo, Hamish Ivison, Soyeon Caren Han, Josiah Poon

CoRR, 2021