1 citations · 2 across the 9 of their papers we have counts for
9 papers
Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES
Hunter Heidenreich
Every chemical language model reading SMILES begins with a tokenizer, yet the field has inherited byte-pair encoding (BPE) from natural language with little scrutiny. In natural la…
GutenOCR: A Grounded Vision-Language Front-End for Documents
Hunter Heidenreich, Ben Elliott, Olivia Dinica +1
GutenOCR is a family of grounded OCR front-ends obtained by fine-tuning Qwen2.5-VL-3B and Qwen2.5-VL-7B. The resulting single-checkpoint vision-language models expose reading, dete…
PubMed-OCR: PMC Open Access OCR Annotations
Hunter Heidenreich, Yosheb Getachew, Olivia Dinica +1
PubMed-OCR is an OCR-centric corpus of scientific articles derived from PubMed Central Open Access PDFs. Each page image is annotated with Google Cloud Vision and released in a com…
Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems
Hunter S. Heidenreich, Pantelis R. Vlachas, Petros Koumoutsakos
Machine learning architectures, including transformers and recurrent neural networks (RNNs) have revolutionized forecasting in applications ranging from text processing to extreme…
Large Language Models for Page Stream Segmentation
Hunter Heidenreich, Ratish Dalvi, Rohith Mukku +2
Page Stream Segmentation (PSS) is an essential prerequisite for automated document processing at scale. However, research progress has been limited by the absence of realistic publ…
EigenNoise: A Contrastive Prior to Warm-Start Representations
Hunter Scott Heidenreich, Jake Ryland Williams
In this work, we present a naive initialization scheme for word vectors based on a dense, independent co-occurrence model and provide preliminary results that suggest it is competi…
To Know by the Company Words Keep and What Else Lies in the Vicinity
Jake Ryland Williams, Hunter Scott Heidenreich
The development of state-of-the-art (SOTA) Natural Language Processing (NLP) systems has steadily been establishing new techniques to absorb the statistics of linguistic data. Thes…
Investigating Coordinated 'Social' Targeting of High-Profile Twitter Accounts
Hunter Scott Heidenreich, Munif Ishad Mujib, Jake Ryland Williams
Following the 2016 US presidential election, there has been an increased focus on politically-motivated manipulation of mass-user behavior on social media platforms. Since a large…
NewsTweet: A Dataset of Social Media Embedding in Online Journalism
Munif Ishad Mujib, Hunter Scott Heidenreich, Colin J. Murphy +3
The inclusion of social media posts---tweets, in particular---in digital news stories, both as commentary and increasingly as news sources, has become commonplace in recent years.…