Dual-task resource constraints cause GPT models to show larger accuracy gaps favoring plausible over implausible sentences, indicating a shift to human-like comprehension strategies.
InICLR 2025 Workshop on Building Trust in Language Mod- els and Applications
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models
Dual-task resource constraints cause GPT models to show larger accuracy gaps favoring plausible over implausible sentences, indicating a shift to human-like comprehension strategies.