Accelerate reading comprehension using LLM attention vectors.
Advanced Saliency Settings
Choose whether importance is calculated relative to this text alone, or absolutely across all texts.
Instruct Gemma what to focus on. Examples: "Focus on numbers and dates", "Highlight emotional words".
Select which section of the network's layers to extract attention scores from. Middle layers generally capture the best semantic meaning.
Analyzing attention vectors with Gemma 2B... Please wait.
Help us prove FlowRead works!
We are testing if LLM-guided saliency highlighting improves reading speed, comprehension, and retention.
You will be shown three short texts (one plain, one FlowRead bolding, one FlowRead gradient) and asked a few quick questions.
Preparing your study...
Our AI is analyzing the texts. This takes just a moment.
Topic
Text 1 of 2
Comprehension Check
Please answer based on the text you just read. (You cannot go back!)
Which text style did you prefer?
Please select the reading experience you liked the most.
Global Study Results
Thank you! Here is how FlowRead impacts reading across all users.