works on

From the 1 of 514 papers with an AI index.

output
19952026
most citedMeasurement of the branching ratio of relative to decays with hadronic tagging at Belle

676 citations

514 papers

cs.CV2026

Adjudicated Captioning: Multi-Agent Alignment Scoring and Consensus-Distilled Beam Arbitration for Strict Zero-Shot Image Captioning

Duy Tran Thanh, Thien-Phuc Doan, Long Nguyen-Vu +1

Zero-shot image captioning (ZIC) describes images without paired image-caption supervision during captioner training, relying on text-only corpora and frozen pretrained image-text…

cs.IT2026

Reinforcement Learning-Based Secure Beamforming Against Satellite Eavesdroppers

Juhwan Seo, Hyesang Cho, Dong-Hyun Jung

This paper investigates physical-layer security for uplink low Earth orbit (LEO) satellite communications in the presence of multiple non-colluding satellite eavesdroppers. Secure…

physics.ao-ph2026

Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift

Bong Gyun Shin, Chan Sik Lee, Hyesun Suh

Atmospheric visibility is a critical variable for transportation safety and air quality management, however, accurate prediction remains challenging due to the complex interactions…

cs.AI2026★ 3 cited

MultiDocFusion: Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents

Joongmin Shin, Chanjun Park, Jeongbae Park +2

RAG-based QA has emerged as a powerful method for processing long industrial documents. However, conventional text chunking approaches often neglect complex and long industrial doc…

nucl-th2026

A dual description of quarks and baryons: Quarkyonic matter within a relativistic quark model

Tsuyoshi Miyatsu, Myung-Ki Cheoun, Koichi Saito

We investigate quarkyonic matter within a relativistic quark model by combining the dual quarkyonic picture with the quark-meson coupling (QMC) model. Using relativistic gaussian q…

cs.IR2026

AlphaFree: Recommendation Free from Users, IDs, and GNNs

Minseo Jeon, Junwoo Jung, Daewon Gwak +1

Can we design effective recommender systems free from users, IDs, and GNNs? Recommender systems are central to personalized content delivery across domains, with top-K item recomme…