Amanda Bertsch
Amanda Bertsch
PhD student, Language Technologies Institute, Carnegie Mellon University
Verified email at - Homepage
Cited by
Cited by
Unlimiformer: Long-range transformers with unlimited length input
A Bertsch, U Alon, G Neubig, MR Gormley
NeurIPS 2023, 2023
Bridging the gap: A survey on integrating (human) feedback for natural language generation
P Fernandes, A Madaan, E Liu, A Farinhas, PH Martins, A Bertsch, ...
Transactions of the Association of Computational Linguistics, 2023
Llms as workers in human-computational algorithms? replicating crowdsourcing pipelines with llms
T Wu, H Zhu, M Albayrak, A Axon, A Bertsch, W Deng, Z Ding, B Guo, ...
arXiv preprint arXiv:2307.10168, 2023
Prompt2Model: Generating Deployable Models from Natural Language Instructions
V Viswanathan, C Zhao, A Bertsch, T Wu, G Neubig
EMNLP Demo, 2023
It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
A Bertsch, A Xie, G Neubig, MR Gormley
arXiv preprint arXiv:2310.01387, 2023
Detection of puffery on the english wikipedia
A Bertsch, S Bethard
Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021 …, 2021
Summqa at mediqa-chat 2023: In-context learning with gpt-4 for medical summarization
Y Mathur, S Rangreji, R Kapoor, M Palavalli, A Bertsch, MR Gormley
arXiv preprint arXiv:2306.17384, 2023
In-context learning with long-context models: An in-depth exploration
A Bertsch, M Ivgi, U Alon, J Berant, MR Gormley, G Neubig
arXiv preprint arXiv:2405.00200, 2024
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing
S Gururaja, A Bertsch, C Na, DG Widder, E Strubell
arXiv preprint arXiv:2310.07715, 2023
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues
A Bertsch, G Neubig, MR Gormley
Findings of EMNLP, 2022
Evaluating gender bias transfer from film data
A Bertsch, A Oh, S Natu, S Gangu, AW Black, E Strubell
Proceedings of the 4th Workshop on Gender Bias in Natural Language …, 2022
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
S Welleck, A Bertsch, M Finlayson, H Schoelkopf, A Xie, G Neubig, ...
arXiv preprint arXiv:2406.16838, 2024
Deep Learning for Bias Detection on the English Wikipedia
The University of Arizona., 2021
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