1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Eyettention II: A Dual-Sequence Architecture for Modeling Fixation Location, Within-Word Landing Position, and Fixation Duration in Reading
Shuwen Deng, Cui Ding, David R. Reich +2
The way our eyes move while reading provides valuable insights into both the reader's cognitive processes and the properties of the text. In particular, eye-tracking-while-reading…
cs.AR2024
Hecaton: Training Large Language Models with Scalable Chiplet Systems
Zongle Huang, Shupei Fan, Chen Tang +3
Large Language Models (LLMs) have achieved remarkable success in various fields, but their training and finetuning require massive computation and memory, necessitating parallelism…
cs.CL2023★ 1 cited
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
Shuwen Deng, Paul Prasse, David R. Reich +2
Human gaze data offer cognitive information that reflects natural language comprehension. Indeed, augmenting language models with human scanpaths has proven beneficial for a range…