1 citations · 1 across the 3 of their papers we have counts for
3 papers
For GPT-4 as with Humans: Information Structure Predicts Acceptability of Long-Distance Dependencies
Nicole Cuneo, Eleanor Graves, Supantho Rakshit +1
It remains debated how well any LM understands natural language or generates reliable metalinguistic judgments. Moreover, relatively little work has demonstrated that LMs can repre…
A suite of LMs comprehend puzzle statements as well as humans
Adele E Goldberg, Supantho Rakshit, Jennifer Hu +1
Recent claims suggest that large language models (LMs) underperform humans in comprehending minimally complex English statements (Dentella et al., 2024). Here, we revisit those fin…
Causal interventions expose implicit situation models for commonsense language understanding
Takateru Yamakoshi, James L. McClelland, Adele E. Goldberg +1
Accounts of human language processing have long appealed to implicit ``situation models'' that enrich comprehension with relevant but unstated world knowledge. Here, we apply causa…