Latent semantic network induction in the context of linked example senses. - Hunter Heidenreich; Jake Williams (W-NUT@EMNLP, 2019)

NewsTweet: A Dataset of Social Media Embedding in Online Journalism. - Munif Ishad Mujib; Hunter Scott Heidenreich; Colin J. Murphy; Giovanni C. Santia; Asta Zelenkauskaite; Jake Ryland Williams (CoRR, 2020)

Investigating Coordinated 'Social' Targeting of High-Profile Twitter Accounts. - Hunter Scott Heidenreich; Munif Ishad Mujib; Jake Ryland Williams (CoRR, 2020)

The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial Triggers. - Hunter Scott Heidenreich; Jake Ryland Williams (AIES, 2021)

To Know by the Company Words Keep and What Else Lies in the Vicinity. - Jake Ryland Williams; Hunter Scott Heidenreich (CoRR, 2022)

EigenNoise: A Contrastive Prior to Warm-Start Representations. - Hunter Scott Heidenreich; Jake Ryland Williams (CoRR, 2022)

Large Language Models for Page Stream Segmentation. - Hunter Heidenreich; Ratish Dalvi; Rohith Mukku; Nikhil Verma; Neven Piculjan (CoRR, 2024)

Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems. - Hunter Scott Heidenreich; Pantelis-Rafail Vlachas; Petros Koumoutsakos (CoRR, 2024)

Page Stream Segmentation with LLMs: Challenges and Applications in Insurance Document Automation. - Hunter Heidenreich; Ratish Dalvi; Nikhil Verma; Yosheb Getachew (COLING (Industry), 2025)