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2020 – today
- 2024
[i12]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 abs/2405.00200 (2024)- [i11]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 abs/2406.16838 (2024) - [i10]Medha Palavalli, Amanda Bertsch, Matthew R. Gormley:
A Taxonomy for Data Contamination in Large Language Models. CoRR abs/2407.08716 (2024) - [i9]Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Pakazad, Graham Neubig:
Better Instruction-Following Through Minimum Bayes Risk. CoRR abs/2410.02902 (2024) - 2023
- [j1]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: 1643-1668 (2023) - [c6]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: 490-502 - [c5]Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig:
Prompt2Model: Generating Deployable Models from Natural Language Instructions. EMNLP (Demos) 2023: 413-421 - [c4]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: 13310-13325 - [c3]Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley:
Unlimiformer: Long-Range Transformers with Unlimited Length Input. NeurIPS 2023 - [i8]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 abs/2305.00955 (2023) - [i7]Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley:
Unlimiformer: Long-Range Transformers with Unlimited Length Input. CoRR abs/2305.01625 (2023) - [i6]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 abs/2306.17384 (2023) - [i5]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 abs/2307.10168 (2023) - [i4]Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig:
Prompt2Model: Generating Deployable Models from Natural Language Instructions. CoRR abs/2308.12261 (2023) - [i3]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 abs/2310.01387 (2023) - [i2]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 abs/2310.07715 (2023) - 2022
- [c2]Amanda Bertsch, Graham Neubig, Matthew R. Gormley:
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues. EMNLP (Findings) 2022: 4823-4840 - [i1]Amanda Bertsch, Graham Neubig, Matthew R. Gormley:
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues. CoRR abs/2210.15462 (2022) - 2021
- [c1]Amanda Bertsch, Steven Bethard:
Detection of Puffery on the English Wikipedia. W-NUT 2021: 329-333
Coauthor Index
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