2 citations · 5 across the 6 of their papers we have counts for
5 papers · 1 filter
Decomposition of surprisal: Unified computational model of ERP components in language processing
Jiaxuan Li, Richard Futrell
The functional interpretation of language-related ERP components has been a central debate in psycholinguistics for decades. We advance an information-theoretic model of human lang…
An information-theoretic model of shallow and deep language comprehension
Jiaxuan Li, Richard Futrell
A large body of work in psycholinguistics has focused on the idea that online language comprehension can be shallow or `good enough': given constraints on time or available computa…
Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios
Jiaxuan Li, Lang Yu, Allyson Ettinger
Current pre-trained language models have enabled remarkable improvements in downstream tasks, but it remains difficult to distinguish effects of statistical correlation from more s…
A unified information-theoretic model of EEG signatures of human language processing
Jiaxuan Li, Richard Futrell
We advance an information-theoretic model of human language processing in the brain, in which incoming linguistic input is processed at two levels, in terms of a heuristic interpre…
Counterfactual reasoning: Do language models need world knowledge for causal understanding?
Jiaxuan Li, Lang Yu, Allyson Ettinger
Current pre-trained language models have enabled remarkable improvements in downstream tasks, but it remains difficult to distinguish effects of statistical correlation from more s…