activity
20162024
most citedJoint Multimodal Learning with Deep Generative Models

125 citations · 309 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2024

Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models

Meiyun Wang, Masahiro Suzuki, Hiroki Sakaji +1

Large Language Models (LLMs) have demonstrated exceptional capabilities across various machine learning (ML) tasks. Given the high costs of creating annotated datasets for supervis…

cs.CL20241 cited

Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis

Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi +2

Causality is fundamental in human cognition and has drawn attention in diverse research fields. With growing volumes of textual data, discerning causalities within text data is cru…

cs.CL20231 cited

From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models

Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji

Instruction tuning is essential for large language models (LLMs) to become interactive. While many instruction tuning datasets exist in English, there is a noticeable lack in other…

cs.LG2023

End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization

Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa +1

We address the problem of biased gradient estimation in deep Boltzmann machines (DBMs). The existing method to obtain an unbiased estimator uses a maximal coupling based on a Gibbs…

cs.CL20233 cited

llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology

Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji

This study constructed a Japanese chat dataset for tuning large language models (LLMs), which consist of about 8.4 million records. Recently, LLMs have been developed and gaining p…

cs.RO20236 cited

World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges

Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki +8

Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously is the ultimate achievement envisioned in cognitive and develo…