Bertsch, Amanda

5 publications

ICLR 2026 Prompt-MII: Meta-Learning Instruction Induction for LLMs Emily Xiao, Yixiao Zeng, Ada Chen, Chin-Jou Li, Amanda Bertsch, Graham Neubig

ICLR 2025 Better Instruction-Following Through Minimum Bayes Risk Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Khoshfetrat Pakazad, Graham Neubig

TMLR 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, Zaid Harchaoui

ICMLW 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

NeurIPS 2023 Unlimiformer: Long-Range Transformers with Unlimited Length Input Amanda Bertsch, Uri Alon, Graham Neubig, Matthew Gormley