3 citations · 7 across the 6 of their papers we have counts for
3 papers · 2 filters
Tracing How Language Models Integrate Temporal Anchors into Factual Recall
Ayana Niwa, Masahiro Kaneko, Kentaro Inui
Factual recall in language models is typically framed as retrieving a factual association: a subject--relation pair maps to a single object. However, many facts are context-depende…
Rethinking the Evaluation of LLM Fact-Checkers
Ayana Niwa, Miyu Yamada, Kouta Nakayama +3
Large language models (LLMs) are widely used to answer factual questions, but their answers can contain errors and must be fact-checked claim by claim. Yet the resulting score depe…
JUBAKU: An Adversarial Benchmark for Exposing Culturally Grounded Stereotypes in Japanese LLMs
Taihei Shiotani, Masahiro Kaneko, Ayana Niwa +4
Social biases reflected in language are inherently shaped by cultural norms, which vary significantly across regions and lead to diverse manifestations of stereotypes. Existing eva…