… We find that the gap between human performance and machine performance is significantly
larger on TextVQA than on VQA 2.0, suggesting that TextVQA is well-suited to benchmark …

… I will first review two recent models of the reading process. Then, I will discuss some of the
empirical … To summarize, these results taken together appear to support the view that our …

… Since the merits or shortcomings of approaches for modeling reading are a major focus of …
This view is common to all current models of reading. The claim here goes deeper, suggesting …

… models for tackling the task of VQG which we believe are the baselines for any novel VQG
tasks, and we adopt these models … towards a visual question generation model that can read …

… modeling is a key step toward artificial general intelligence. In this work… For example, MLLMs
can directly read the screen or extract … We observe that providing descriptions in context can …

… [22], we find it remarkable that our auditor can distinguish the contribution of an individual …
smaller models would impact the ability of an auditor to infer document membership. We find …

… Consider how a novel might be read. We begin reading a novel to discover the plot, yet find
… They must examine their developing interpretations and view the models they build as draft-…

… towards understanding neural networks probes models in a … with four different models. We
contrast the propensities of the … We can see that the DAN has the highest overlap, indicating …

… regions significantly close the gap toward human performance in the ToL … reading models
on our ScreenPR benchmark. We leverage the Amazon Mechanical Turk4 platform to find …

… in our view is far from common in developmental cases of reading difficulty (see Hulme
and … It has been argued that we need models of learning to read which embody pre-structured …