Jessica Zosa Forde

According to our database, Jessica Zosa Forde authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Lessons from the Trenches on Reproducible Evaluation of Language Models.

Stella Biderman, Hailey Schoelkopf, Lintang Sutawika, Leo Gao, Jonathan Tow, Baber Abbasi, Alham Fikri Aji, Pawan Sasanka Ammanamanchi, Sidney Black, Jordan Clive, Anthony DiPofi, Julen Etxaniz, Benjamin Fattori, Jessica Zosa Forde, Charles Foster, Jeffrey Hsu, Mimansa Jaiswal, Wilson Y. Lee, Haonan Li, Charles Lovering, Niklas Muennighoff, Ellie Pavlick, Jason Phang, Aviya Skowron, Samson Tan, Xiangru Tang, Kevin A. Wang, Genta Indra Winata, François Yvon, Andy Zou

CoRR, 2024

2023

Efficient Methods for Natural Language Processing: A Survey.

Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz

Trans. Assoc. Comput. Linguistics, 2023

Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research.

Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rücklé, Iryna Gurevych, Roy Schwartz, Emma Strubell, Jesse Dodge

CoRR, 2023

Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages.

Zheng Xin Yong, Ruochen Zhang, Jessica Zosa Forde, Skyler Wang, Samuel Cahyawijaya, Holy Lovenia, Genta Indra Winata, Lintang Sutawika, Jan Christian Blaise Cruz, Long Phan, Yin Lin Tan, Alham Fikri Aji

CoRR, 2023

2022

A Tool for Organizing Key Characteristics of Virtual, Augmented, and Mixed Reality for Human-Robot Interaction Systems: Synthesizing VAM-HRI Trends and Takeaways.

Thomas R. Groechel, Michael E. Walker, Christine T. Chang, Eric Rosen, Jessica Zosa Forde

IEEE Robotics Autom. Mag., 2022

Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex.

Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman

CoRR, 2022

One Venue, Two Conferences: The Separation of Chinese and American Citation Networks.

Bingchen Zhao, Yuling Gu, Jessica Zosa Forde, Naomi Saphra

CoRR, 2022

Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation.

Cody Blakeney, Jessica Zosa Forde, Jonathan Frankle, Ziliang Zong, Matthew L. Leavitt

CoRR, 2022

Strengthening Subcommunities: Towards Sustainable Growth in AI Research.

Andi Peng, Jessica Zosa Forde, Yonadav Shavit, Jonathan Frankle

CoRR, 2022

Does DQN really learn? Exploring adversarial training schemes in Pong.

Bowen He, Sreehari Rammohan, Jessica Zosa Forde, Michael L. Littman

CoRR, 2022

Virtual, Augmented, and Mixed Reality for HRI (VAM-HRI).

Christine T. Chang, Eric Rosen, Thomas R. Groechel, Michael E. Walker, Jessica Zosa Forde

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Towards Reproducible Machine Learning Research in Natural Language Processing.

Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

TOKCS: Tool for Organizing Key Characteristics of VAM-HRI Systems.

Thomas R. Groechel, Michael E. Walker, Christine T. Chang, Eric Rosen, Jessica Zosa Forde

CoRR, 2021

Model Selection's Disparate Impact in Real-World Deep Learning Applications.

Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Chris De Sa, Michael Littman

CoRR, 2021

Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI).

Eric Rosen, Thomas R. Groechel, Michael E. Walker, Christine T. Chang, Jessica Zosa Forde

Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

2020

Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding.

Michela Paganini, Jessica Zosa Forde

CoRR, 2020

dagger: A Python Framework for Reproducible Machine Learning Experiment Orchestration.

Michela Paganini, Jessica Zosa Forde

CoRR, 2020

Streamlining Tensor and Network Pruning in PyTorch.

Michela Paganini, Jessica Zosa Forde

CoRR, 2020

On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks.

Michela Paganini, Jessica Zosa Forde

CoRR, 2020

2019

Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging.

John R. Zech, Jessica Zosa Forde, Michael L. Littman

CoRR, 2019

The Scientific Method in the Science of Machine Learning.

Jessica Zosa Forde, Michela Paganini

CoRR, 2019