Controlling Global Statistics in Recurrent Neural Network Text Generation. - Thanapon Noraset; David Demeter; Doug Downey (AAAI, 2018)

Just Add Functions: A Neural-Symbolic Language Model. - David Demeter; Doug Downey (AAAI, 2020)

Stolen Probability: A Structural Weakness of Neural Language Models. - David Demeter; Gregory Kimmel; Doug Downey (ACL, 2020)

Who's on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains. - David Demeter; Doug Downey (CoNLL, 2021)

CODE: Compiler-based Neuron-aware Ensemble training. - Ettore M. G. Trainiti; Thanapon Noraset; David Demeter; Doug Downey; Simone Campanoni (MLSys, 2021)

Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models. - Victor S. Bursztyn; David Demeter; Doug Downey; Larry Birnbaum (EMNLP (Findings), 2022)

Summarization from Leaderboards to Practice: Choosing A Representation Backbone and Ensuring Robustness. - David Demeter; Oshin Agarwal; Simon Ben Igeri; Marko Sterbentz; Neil P. Molino; John M. Conroy; Ani Nenkova (CoRR, 2023)

Sentiment analysis with adaptive multi-head attention in Transformer. - Fanfei Meng; David Demeter (CoRR, 2023)

LawLLM: Law Large Language Model for the US Legal System. - Dong Shu; Haoran Zhao; Xukun Liu; David Demeter; Mengnan Du; Yongfeng Zhang (CIKM, 2024)

A Flash in the Pan: Better Prompting Strategies to Deploy Out-of-the-Box LLMs as Conversational Recommendation Systems. - Gustavo Adolpho Lucas de Carvalho; Simon Ben Igeri; Jennifer Healey; Victor S. Bursztyn; David Demeter; Lawrence Birnbaum (COLING, 2025)