Amanda Bertsch

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

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Publications

Medha Palavalli, Amanda Bertsch, Matthew R. Gormley
A Taxonomy for Data Contamination in Large Language Models. CoRR (2024)
Sean Welleck, Amanda Bertsch, Matthew Finlayson, Hailey Schoelkopf, Alex Xie, Graham Neubig, Ilia Kulikov, Zaïd Harchaoui
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models. CoRR (2024)
Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig
In-Context Learning with Long-Context Models: An In-Depth Exploration. CoRR (2024)
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
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. CoRR (2023)
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
Prompt2Model: Generating Deployable Models from Natural Language Instructions. CoRR (2023)
Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing. EMNLP (2023)
Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley
Unlimiformer: Long-Range Transformers with Unlimited Length Input. CoRR (2023)
Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley
Unlimiformer: Long-Range Transformers with Unlimited Length Input. NeurIPS (2023)
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
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. CoRR (2023)
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
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. Trans. Assoc. Comput. Linguistics 11 (2023)
Yash Mathur, Sanketh Rangreji, Raghav Kapoor, Medha Palavalli, Amanda Bertsch, Matthew R. Gormley
SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization. ClinicalNLP@ACL (2023)
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
Prompt2Model: Generating Deployable Models from Natural Language Instructions. EMNLP (Demos) (2023)
Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing. CoRR (2023)
Yash Mathur, Sanketh Rangreji, Raghav Kapoor, Medha Palavalli, Amanda Bertsch, Matthew R. Gormley
SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization. CoRR (2023)
Amanda Bertsch, Alex Xie, Graham Neubig, Matthew R. Gormley
It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk. CoRR (2023)
Amanda Bertsch, Graham Neubig, Matthew R. Gormley
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues. EMNLP (Findings) (2022)
Amanda Bertsch, Graham Neubig, Matthew R. Gormley
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues. CoRR (2022)
Amanda Bertsch, Steven Bethard
Detection of Puffery on the English Wikipedia. W-NUT (2021)