3 citations · 7 across the 6 of their papers we have counts for
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cs.CL2023★ 3 cited
Psychometric Predictive Power of Large Language Models
Tatsuki Kuribayashi, Yohei Oseki, Timothy Baldwin
Instruction tuning aligns the response of large language models (LLMs) with human preferences. Despite such efforts in human--LLM alignment, we find that instruction tuning does no…
cs.CL2023★ 1 cited
Does Vision Accelerate Hierarchical Generalization in Neural Language Learners?
Tatsuki Kuribayashi, Timothy Baldwin
Neural language models (LMs) are arguably less data-efficient than humans from a language acquisition perspective. One fundamental question is why this human-LM gap arises. This st…