activity
20242026
most citedLLMs Faithfully and Iteratively Compute Answers During CoT: A Systematic Analysis With Multi-step Arithmetics

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Once a Tree, Always a Tree? Cross-lingual Transfer of Hierarchical Generalization in Language Models

Shin Yamaguchi, Masaya Taniguchi, Tatsuki Kuribayashi +2

Language models (LMs) often exhibit successful cross-lingual transfer through continued (pre)training, still their underlying process remains unclear. One possibility is that LMs c…

cs.CL2025★ 1 cited

FinchGPT: a Transformer based language model for birdsong analysis

Kosei Kobayashi, Kosuke Matsuzaki, Masaya Taniguchi +3

The long-range dependencies among the tokens, which originate from hierarchical structures, are a defining hallmark of human language. However, whether similar dependencies exist w…

cs.CL2024★ 3 cited

LLMs Faithfully and Iteratively Compute Answers During CoT: A Systematic Analysis With Multi-step Arithmetics

Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi +5

This study investigates the internal information flow of large language models (LLMs) while performing chain-of-thought (CoT) style reasoning. Specifically, with a particular inter…

cs.CL2024

First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning

Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi +4

Multi-step reasoning instruction, such as chain-of-thought prompting, is widely adopted to explore better language models (LMs) performance. We report on the systematic strategy th…

cs.CL2024

J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema

Kosuke Matsuzaki, Masaya Taniguchi, Kentaro Inui +1

We introduce a Japanese Morphology dataset, J-UniMorph, developed based on the UniMorph feature schema. This dataset addresses the unique and rich verb forms characteristic of the…