Publications

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2024

• Holistically Evaluating the Environmental Impact of Creating Language Models
  Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge
  under review

• OLMoE: Open Mixture-of-Experts Language Models
  Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi
  under review [pdf]

• Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
  Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi
  Findings of EMNLP 2024 [pdf]

• SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
  David Wadden*, Kejian Shi*, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan
  arXiv [pdf]

• RewardBench: A Benchmark for Evaluating Reward Models
  Nathan Lambert, Valentina Piyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Chandu, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi
  arXiv [pdf] [code] [leaderboard]

• Intentionally Unintentional Speech: Why Generative AI Models Are Not Protected by the First Amendment
  David Atkinson, Jena D. Hwang, Jacob Morrison
  First Amendment Law Review (University of North Carolina), Spring 2025

• Unsettled Law in the Age of Generative AI: Time to Generate New Approaches?
  David Atkinson, Jacob Morrison
  Journal of Law and Technology at Texas

• A Legal Risk Taxonomy for Generative Artificial Intelligence
  David Atkinson, Jacob Morrison
  arXiv preprint [pdf]

• 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 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
  ACL 2024 [pdf] 🥇 Theme Paper Award 🥇

• Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
  Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Evan Pete Walsh, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
  ACL 2024 [pdf] 🥇 Best Resource Paper Award 🥇

2022

• Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand
  Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
  NAACL 2022 [pdf]

• Transparent Human Evaluation for Image Captioning
  Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith
  NAACL 2022 [pdf]