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20172026
most citedModeling the spread of fake news on Twitter

62 citations · 140 across the 16 of their papers we have counts for

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10 papers · 1 filter

cs.CL2026

What Does Activation Steering Control? Attribution Across Answer Encodings and Output-Sensitive Subspaces

Zhiwei Gao, Shaowen Peng, Shoko Wakamiya +1

Activation steering is often evaluated under the answer encoding used to construct the direction. A reported gain may reflect the intended judgment or compatibility with answer ide…

cs.CL2026

Can Large Language Models Imitate Human Speech for Clinical Assessment? LLM-Driven Data Augmentation for Cognitive Score Prediction

Si-Belkacem Yamine Ketir, Lenard Paulo Tamayo, Shohei Hisada +3

Accurate assessment of cognitive decline from spontaneous speech remains challenging due to limited dataset size and class imbalance. In this work, we propose a large language mode…

cs.CL2025

Filling in the Clinical Gaps in Benchmark: Case for HealthBench for the Japanese medical system

Shohei Hisada, Endo Sunao, Himi Yamato +2

This study investigates the applicability of HealthBench, a large-scale, rubric-based medical benchmark, to the Japanese context. Although robust evaluation frameworks are essentia…

cs.CL2023★ 2 cited

Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation

Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi +9

Geoparsing is a fundamental technique for analyzing geo-entity information in text. We focus on document-level geoparsing, which considers geographic relatedness among geo-entity m…

cs.CL2023★ 1 cited

NAIST Academic Travelogue Dataset

Hiroki Ouchi, Hiroyuki Shindo, Shoko Wakamiya +5

We have constructed NAIST Academic Travelogue Dataset (ATD) and released it free of charge for academic research. This dataset is a Japanese text dataset with a total of over 31 mi…

cs.CL2022

Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Dataset

Taichi Murayama, Shohei Hisada, Makoto Uehara +2

Fake news provokes many societal problems; therefore, there has been extensive research on fake news detection tasks to counter it. Many fake news datasets were constructed as reso…

cs.CL2021

Mitigation of Diachronic Bias in Fake News Detection Dataset

Taichi Murayama, Shoko Wakamiya, Eiji Aramaki

Fake news causes significant damage to society.To deal with these fake news, several studies on building detection models and arranging datasets have been conducted. Most of the fa…

cs.CL2021

End-to-end Biomedical Entity Linking with Span-based Dictionary Matching

Shogo Ujiie, Hayate Iso, Shuntaro Yada +2

Disease name recognition and normalization, which is generally called biomedical entity linking, is a fundamental process in biomedical text mining. Recently, neural joint learning…

cs.CL2021★ 6 cited

KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models

Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura +5

For the safe sharing pre-trained language models, no guidelines exist at present owing to the difficulty in estimating the upper bound of the risk of privacy leakage. One problem i…

cs.CL2017★ 14 cited

Density Estimation for Geolocation via Convolutional Mixture Density Network

Hayate Iso, Shoko Wakamiya, Eiji Aramaki

Nowadays, geographic information related to Twitter is crucially important for fine-grained applications. However, the amount of geographic information avail- able on Twitter is lo…