Amanda Bertsch

According to our database, Amanda Bertsch authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions.

Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Michael Chen, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig

CoRR, March, 2025

In-Context Learning with Long-Context Models: An In-Depth Exploration.

Amanda Bertsch, Maor Ivgi, Emily Xiao, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig

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

Better Instruction-Following Through Minimum Bayes Risk.

Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Khoshfetrat Pakazad, Graham Neubig

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.

Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Boyuan Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention.

Emily Xiao, Chin-Jou Li, Yilin Zhang, Graham Neubig, Amanda Bertsch

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models.

Sean Welleck, Amanda Bertsch, Matthew Finlayson, Hailey Schoelkopf, Alex Xie, Graham Neubig, Ilia Kulikov, Zaïd Harchaoui

Trans. Mach. Learn. Res., 2024

In-Context Learning with Long-Context Models: An In-Depth Exploration.

Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig

CoRR, 2024

A Taxonomy for Data Contamination in Large Language Models.

Medha Palavalli, Amanda Bertsch, Matthew Gormley

Proceedings of the First Data Contamination Workshop, 2024

2023

Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation.

Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins

Trans. Assoc. Comput. Linguistics, 2023

It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk.

Amanda Bertsch, Alex Xie, Graham Neubig, Matthew R. Gormley

CoRR, 2023

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.

Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Bill Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang

CoRR, 2023

Unlimiformer: Long-Range Transformers with Unlimited Length Input.

Amanda Bertsch, Uri Alon, Graham Neubig, Matthew Gormley

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

Prompt2Model: Generating Deployable Models from Natural Language Instructions.

Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing.

Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization.

Yash Mathur, Sanketh Rangreji, Raghav Kapoor, Medha Palavalli, Amanda Bertsch, Matthew Gormley

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues.

Amanda Bertsch, Graham Neubig, Matthew R. Gormley

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

2021

Detection of Puffery on the English Wikipedia.

Amanda Bertsch, Steven Bethard

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021