Online Multiscale-Data Classification Based on Multikernel Adaptive Filtering with Application to Sentiment Analysis. - Ran Iwamoto; Masahiro Yukawa (EUSIPCO, 2019)

How Universal are Universal Dependencies? Exploiting Syntax for Multilingual Clause-level Sentiment Detection. - Hiroshi Kanayama; Ran Iwamoto (LREC, 2020)

RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection. - Ran Iwamoto; Masahiro Yukawa (SemEval@COLING, 2020)

Polar Embedding. - Ran Iwamoto; Ryosuke Kohita; Akifumi Wachi (CoNLL, 2021)

Incorporating Syntactic Knowledge into Pre-trained Language Model using Optimization for Overcoming Catastrophic Forgetting. - Ran Iwamoto; Issei Yoshida; Hiroshi Kanayama; Takuya Ohko; Masayasu Muraoka (EMNLP (Findings), 2023)

Incorporating Syntax and Lexical Knowledge to Multilingual Sentiment Classification on Large Language Models. - Hiroshi Kanayama; Yang Zhao; Ran Iwamoto; Takuya Ohko (ACL (Findings), 2024)

LLM Neologism: Emergence of Mutated Characters due to Byte Encoding. - Ran Iwamoto; Hiroshi Kanayama (INLG, 2024)

GneissWeb: Preparing High Quality Data for LLMs at Scale. - Hajar Emami-Gohari; Swanand Ravindra Kadhe; Syed Yousaf Shah; Constantin Adam; Abdulhamid Adebayo; Praneet Adusumilli; Farhan Ahmed; Nathalie Baracaldo Angel; Santosh Borse; Yuan Chi Chang; Xuan-Hong Dang; Nirmit Desai; et al. (CoRR, 2025)