1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
vMF Sentence LDA: A Spherical Topic Model over Sentence Embeddings
Ryotaro Kobayashi, Yuri Murayama, Kiyoshi Izumi
Latent Dirichlet Allocation (LDA) and models derived from it remain widely used topic models. LDA observes each document as a bag-of-words and models each topic by a categorical di…
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.CL2024★ 1 cited
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
Recently, Large Language Models (LLMs) have attracted significant attention for their exceptional performance across a broad range of tasks, particularly in text analysis. However,…