5 citations · 15 across the 16 of their papers we have counts for
23 papers
Large Language Models as Modal Models in Linguistics
Haruto Suzuki, Saku Sugawara
The rapid advancement of large language models (LLMs) has intensified debates about their significance for linguistic theory. These debates are commonly divided into three position…
A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models
Rei Emura, Saku Sugawara
Language models (LMs) behave more like humans when their cognitive resources are restricted, particularly in predicting sentence processing costs such as reading times. However, it…
C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences
Akira Kawabata, Saku Sugawara
Rubric-augmented verification guides reward models with explicit evaluation criteria, yielding more reliable judgments than single-model verification. However, most existing method…
CxMP: A Linguistic Minimal-Pair Benchmark for Evaluating Constructional Understanding in Language Models
Miyu Oba, Saku Sugawara
Recent work has examined language models from a linguistic perspective to better understand how they acquire language. Most existing benchmarks focus on judging grammatical accepta…
TactfulToM: Do LLMs Have the Theory of Mind Ability to Understand White Lies?
Yiwei Liu, Emma Jane Pretty, Jiahao Huang +1
While recent studies explore Large Language Models' (LLMs) performance on Theory of Mind (ToM) reasoning tasks, research on ToM abilities that require more nuanced social context i…
Specification-Aware Machine Translation and Evaluation for Purpose Alignment
Yoko Kayano, Saku Sugawara
In professional settings, translation is guided by communicative goals and client needs, often formalized as specifications. While existing evaluation frameworks acknowledge the im…