Bertsch, Amanda

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

Fernandes, P., Madaan, A., Liu, E., Farinhas, A., Martins, P. H., Bertsch, A., de Souza, J. G. C., Zhou, S., Wu, T., Neubig, G., et al. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 44

Unlimiformer: Long-Range Transformers with Unlimited Length Input

Bertsch, A., Alon, U., Neubig, G., & Gormley, M. R. (2023) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 30

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

Mathur, Y., Rangreji, S., Kapoor, R., Palavalli, M., Bertsch, A., & Gormley, M. R. (2023) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 18

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

Bertsch, A., Ivgi, M., Xiao, E., Alon, U., Berant, J., Gormley, M. R., & Neubig, G. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 7

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

Welleck, S., Bertsch, A., Finlayson, M., Schoelkopf, H., Xie, A., Neubig, G., Kulikov, I., & Harchaoui, Z. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 3