RS
Ryohei Sasano
cs.CLcs.AIallergyAllergy and Immunologycs.CVcs.CYcs.LGData AnnotationHospital Incident ReportingHypersensitivity
On Valency
published · living versionsW_22wu57be·v1 · currentpublished
Are Linguistic and Arithmetic Circuits Dissociated in LLMs?
with Riku Kisako, Tatsuki Kuribayashi
1 version
Preprints & journals
33 papers in the corpus · 2016–2026Are Linguistic and Arithmetic Circuits Dissociated in LLMs?2610.27790v1 · Riku Kisako, Tatsuki Kuribayashi, Ryohei Sasano2026 · 0 citationsarXivon Valency
FrameBench:A Language Understanding Benchmark Based on Frame Semantics2609.03370v1 · Chihiro Yano, Ryohei Sasano2026 · 0 citationsarXiv
When Is 0.1% Enough? Analyzing the Combined Effects of Dimensionality Reduction and Quantization on Text Embedding Compression2606.01074v2 · Riku Kisako, Hayato Tsukagoshi, Ryohei Sasano2026 · 0 citationsarXiv
Can We Still Trace L1 Signals? Investigating the Resilience of Native Language Signals in the LLM Era2604.08568v4 · Nabelanita Utami, Ryohei Sasano2026 · 0 citationsarXiv
How Do Language Models Acquire Character-Level Information?2602.05347v1 · Soma Sato, Ryohei Sasano2026 · 0 citationsarXiv
Do LLMs and Humans Find the Same Questions Difficult? A Case Study on Japanese Quiz Answering2511.12300v1 · Naoya Sugiura, Kosuke Yamada, Yasuhiro Ogawa et al.2025 · 0 citationsarXiv
FrameEOL: Semantic Frame Induction using Causal Language Models2510.09097v1 · Chihiro Yano, Kosuke Yamada, Hayato Tsukagoshi et al.2025 · 0 citationsarXiv
Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings2506.01435v1 · Hayato Tsukagoshi, Ryohei Sasano2025 · 2 citationsarXiv
On Representational Dissociation of Language and Arithmetic in Large Language Models2502.11932v1 · Riku Kisako, Tatsuki Kuribayashi, Ryohei Sasano2025 · 0 citationsarXiv
CiMaTe: Citation Count Prediction Effectively Leveraging the Main Text2410.04404v1 · Jun Hirako, Ryohei Sasano, Koichi Takeda2024 · 0 citationsarXiv
Ruri: Japanese General Text Embeddings2409.07737v1 · Hayato Tsukagoshi, Ryohei Sasano2024 · 1 citationarXiv
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs2408.04217v1 · Masashi Oshika, Makoto Morishita, Tsutomu Hirao et al.2024 · 1 citationarXiv
Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments2408.04293v1 · Kunitomo Tanaka, Ryohei Sasano, Koichi Takeda2024 · 0 citationsarXiv
To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese2404.11315v2 · Yukiko Ishizuki, Tatsuki Kuribayashi, Yuichiroh Matsubayashi et al.2024 · 2 citationsarXiv
WikiSplit++: Easy Data Refinement for Split and Rephrase2404.09002v1 · Hayato Tsukagoshi, Tsutomu Hirao, Makoto Morishita et al.2024 · 1 citationarXiv
Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification2404.01029v1 · Kotaro Aono, Ryohei Sasano, Koichi Takeda2024 · 1 citationarXiv
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples2402.15132v2 · Soma Sato, Hayato Tsukagoshi, Ryohei Sasano et al.2024 · 5 citationsarXiv
Japanese SimCSE Technical Report2310.19349v1 · Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda2023 · 2 citationsarXiv
Transformer-based Live Update Generation for Soccer Matches from Microblog Posts2310.16368v1 · Masashi Oshika, Kosuke Yamada, Ryohei Sasano et al.2023 · 1 citationarXiv
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction2305.13944v1 · Kosuke Yamada, Ryohei Sasano, Koichi Takeda2023 · 1 citationarXiv
Sentence Representations via Gaussian Embedding2305.12990v2 · Shohei Yoda, Hayato Tsukagoshi, Ryohei Sasano et al.2023 · 5 citationsarXiv
Semantic Frame Induction with Deep Metric Learning2304.14286v1 · Kosuke Yamada, Ryohei Sasano, Koichi Takeda2023 · 2 citationsarXiv
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning2212.07075v1 · Hongkuan Zhang, Saku Sugawara, Akiko Aizawa et al.2022 · 6 citationsarXiv
Annotation Guidelines for Medication Errors in Incident Reports: Validation Through a Mixed Methods Approach.35673034 · Wong, Zoie S Y, Qiao, Yuchen, Sasano, Ryohei et al.2022 · 4 citationsStudies in health technology and informatics. 2022;290:354-358
Research impact analysis of international funding agencies in the realm of allergy and immunology.35143695 · Adachi, Takeya, Ogawa, Yasushi, Fukushi, Tamami et al.2022 · 3 citationsAllergy. 2022;77(5):1602-1606
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals2202.02990v2 · Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda2022 · 9 citationsarXiv
Transformer-based Lexically Constrained Headline Generation2109.07080v1 · Kosuke Yamada, Yuta Hitomi, Hideaki Tamori et al.2021 · 11 citationsarXiv
Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction2105.13465v1 · Kosuke Yamada, Ryohei Sasano, Koichi Takeda2021 · 4 citationsarXiv
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering2105.13466v1 · Kosuke Yamada, Ryohei Sasano, Koichi Takeda2021 · 9 citationsarXiv
DefSent: Sentence Embeddings using Definition Sentences2105.04339v3 · Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda2021 · 27 citationsarXiv
Self-Guided Curriculum Learning for Neural Machine Translation2105.04475v3 · Lei Zhou, Liang Ding, Kevin Duh et al.2021 · 18 citationsarXiv
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition1902.10118v1 · Thai-Hoang Pham, Khai Mai, Nguyen Minh Trung et al.2019 · 3 citationsarXiv
Controlling Output Length in Neural Encoder-Decoders1609.09552v1 · Yuta Kikuchi, Graham Neubig, Ryohei Sasano et al.2016 · 220 citationsarXiv
Career total: 168 works. 33 are in this corpus.
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