Author

Rujikorn Charakorn

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#artificial intelligence Preprint Oct 2026

The Agentic Scientist: Orchestrating Coding Agents for Automated Scientific (Co-)Discovery

Modern coding agents are fundamentally reshaping the role of human input for computational research: they write code, launch in silico experiments, analyze their results, and autonomously operate with ever-increasing time horizons. Despite these developments, fully autonomous research agents suffer from a limited ideat...

R. Lange, Luca Grillotti, Yutaro Yamada et al. · 0 citations

#artificial intelligence Preprint Sep 2026

BaLEEN: Biasing with Latent Encoded Entities for Context-Aware ASR

BaLEEN (Biasing with Latent Encoded Entities), a lightweight, hypernetwork-based framework for dynamic contextual adaptation without fine-tuning the underlying ASR model, is proposed.

Chihiro Taguchi, Yotaro Kubo, Rujikorn Charakorn · 0 citations

#artificial intelligence Preprint Aug 2026

Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection

Strong sensitivity to the training prior, data-efficiency of moment-based heads, and representation dependence of Gaussian shift metrics, motivating (prior, encoder, head)-level reporting and stronger analytical baselines for AIGI transfer are quantified.

Shashank Kotyan, Makoto Shing, Yuki Imajuku et al. · 0 citations