Search Results for author: David Demeter

Found 5 papers, 3 papers with code

Summarization from Leaderboards to Practice: Choosing A Representation Backbone and Ensuring Robustness

no code implementations18 Jun 2023 David Demeter, Oshin Agarwal, Simon Ben Igeri, Marko Sterbentz, Neil Molino, John M. Conroy, Ani Nenkova

Academic literature does not give much guidance on how to build the best possible customer-facing summarization system from existing research components.

Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models

1 code implementation23 Oct 2022 Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum

In this work, we present compositional fine-tuning (CFT): an approach based on explicitly decomposing a target task into component tasks, and then fine-tuning smaller LMs on a curriculum of such component tasks.

Sports Understanding

Stolen Probability: A Structural Weakness of Neural Language Models

1 code implementation ACL 2020 David Demeter, Gregory Kimmel, Doug Downey

Neural Network Language Models (NNLMs) generate probability distributions by applying a softmax function to a distance metric formed by taking the dot product of a prediction vector with all word vectors in a high-dimensional embedding space.

Inductive Bias

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