Hamish Ivison

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Lexical Resources

Ontology Learning

Top Venues

ACM Comput. Surv.

Publications

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
OLMo: Accelerating the Science of Language Models. CoRR (2024)
Siwen Luo, Hamish Ivison, Soyeon Caren Han, Josiah Poon
Local Interpretations for Explainable Natural Language Processing: A Survey. ACM Comput. Surv. 56 (9) (2024)
Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. EACL (1) (2024)
Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. CoRR (2024)
Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar
Backtracking Mathematical Reasoning of Language Models to the Pretraining Data. Tiny Papers @ ICLR (2024)
Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation. ACL (1) (2023)
Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. CoRR (2023)
Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. NeurIPS (2023)
Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. CoRR (2023)
Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. ACL (Findings) (2023)
Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR (2023)
Hamish Ivison, Matthew E. Peters
Hyperdecoders: Instance-specific decoders for multi-task NLP. CoRR (2022)
Hamish Ivison, Matthew E. Peters
Hyperdecoders: Instance-specific decoders for multi-task NLP. EMNLP (Findings) (2022)
Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters
HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation. CoRR (2022)
Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. CoRR (2022)
Siwen Luo, Hamish Ivison, Soyeon Caren Han, Josiah Poon
Local Interpretations for Explainable Natural Language Processing: A Survey. CoRR (2021)