Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension

13 October 2020

Papers citing "Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension"

8 / 8 papers shown

Title
OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responses Angela Lopez-Cardona Sebastian Idesis Miguel Barreda-Ángeles Sergi Abadal Ioannis Arapakis 46 0 0 13 Mar 2025
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models Angela Lopez-Cardona Carlos Segura Alexandros Karatzoglou Sergi Abadal Ioannis Arapakis ALM 54 2 0 02 Oct 2024
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models Karin de Langis Dongyeop Kang 16 1 0 19 Dec 2022
The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts Nora Hollenstein Maria Barrett Marina Bjornsdóttir 20 14 0 28 Apr 2022
Multimodal Integration of Human-Like Attention in Visual Question Answering Ekta Sood Fabian Kögel Philippe Muller Dominike Thomas Mihai Bâce Andreas Bulling 33 16 0 27 Sep 2021
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering Ekta Sood Fabian Kögel Florian Strohm Prajit Dhar Andreas Bulling 29 19 0 27 Sep 2021
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals Yuqi Ren Deyi Xiong 14 16 0 10 Jun 2021
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 216 7,924 0 17 Aug 2015