David Demeter

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Probabilistic Retrieval Models

Text Generation

Top Venues

Publications

Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang
LawLLM: Law Large Language Model for the US Legal System. CoRR (2024)
Fanfei Meng, David Demeter
Sentiment analysis with adaptive multi-head attention in Transformer. CoRR (2023)
David Demeter, Oshin Agarwal, Simon Ben Igeri, Marko Sterbentz, Neil P. Molino, John M. Conroy, Ani Nenkova
Summarization from Leaderboards to Practice: Choosing A Representation Backbone and Ensuring Robustness. CoRR (2023)
Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models. CoRR (2022)
Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models. EMNLP (Findings) (2022)
Ettore M. G. Trainiti, Thanapon Noraset, David Demeter, Doug Downey, Simone Campanoni
CODE: Compiler-based Neuron-aware Ensemble training. MLSys (2021)
David Demeter, Doug Downey
Who's on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains. CoNLL (2021)
David Demeter, Gregory Kimmel, Doug Downey
Stolen Probability: A Structural Weakness of Neural Language Models. ACL (2020)
David Demeter, Gregory Kimmel, Doug Downey
Stolen Probability: A Structural Weakness of Neural Language Models. CoRR (2020)
David Demeter, Doug Downey
Just Add Functions: A Neural-Symbolic Language Model. AAAI (2020)
David Demeter, Doug Downey
Just Add Functions: A Neural-Symbolic Language Model. CoRR (2019)
Thanapon Noraset, David Demeter, Doug Downey
Controlling Global Statistics in Recurrent Neural Network Text Generation. AAAI (2018)