Jessica Zosa Forde

According to our database, Jessica Zosa Forde authored at least 27 papers between 2018 and 2025.

Collaborative distances:

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

2025

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track.

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Koustuv Sinha, Francesco Orabona, Sanmi Koyejo, David L. Donoho

CoRR, June, 2025

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track.

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Francesco Orabona, Sanmi Koyejo, David L. Donoho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models.

Margaret Mitchell, Giuseppe Attanasio, Ioana Baldini, Miruna Clinciu, Jordan Clive, Pieter Delobelle, Manan Dey, Sil Hamilton, Timm Dill, Jad Doughman, Ritam Dutt, Avijit Ghosh, Jessica Zosa Forde, Carolin Holtermann, Lucie-Aimée Kaffee, Tanmay Laud, Anne Lauscher, Roberto L. Lopez-Davila, Maraim Masoud, Nikita Nangia, Anaelia Ovalle, Giada Pistilli, Dragomir Radev, Beatrice Savoldi, Vipul Raheja, Jeremy Qin, Esther Ploeger, Arjun Subramonian, Kaustubh D. Dhole, Kaiser Sun, Amirbek Djanibekov, Jonibek Mansurov, Kayo Yin, Emilio Villa Cueva, Sagnik Mukherjee, Jerry Huang, Xudong Shen, Jay Gala, Hamdan Al-Ali, Tair Djanibekov, Nurdaulet Mukhituly, Shangrui Nie, Shanya Sharma, Karolina Stanczak, Eliza Szczechla, Tiago Timponi Torrent, Deepak Tunuguntla, Marcelo Viridiano, Oskar Van Der Wal, Adina Yakefu, Aurélie Névéol, Mike Zhang, Sydney Zink, Zeerak Talat

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

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

Re-Evaluating Evaluation for Multilingual Summarization.

Jessica Zosa Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Hyperparameter Optimization Is Deceiving Us, and How to Stop It.

A. Feder Cooper, Yucheng Lu, Jessica Zosa Forde, Christopher De Sa

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

2018

Binder 2.0 - Reproducible, interactive, sharable environments for science at scale.

Project Jupyter, Matthias Bussonnier, Jessica Zosa Forde, Jeremy Freeman, Brian E. Granger, Tim Head, Chris Holdgraf, Kyle Kelley, Gladys Nalvarte, Andrew Osheroff, Michael Pacer, Yuvi Panda, Fernando Pérez, Benjamin Ragan-Kelley, Carol Willing

Proceedings of the 17th Python in Science Conference, 2018