Author

Jee-Hyong Lee

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Preprint Oct 2026

CILA: Confusion-based Instance-wise Logit Adjustment for Long-Tailed Recognition

Real-world datasets are inherently class-imbalanced, leading models to favor majority classes and struggle with minority ones. Existing logit adjustment methods address this by modifying logits based on class frequencies, but their class-wise adjustments ignore instance-wise confusion and often suppress informative sig...

Ji-Shen Lim, Jee-Hyong Lee · 0 citations

Preprint Aug 2026

Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems

This paper presents the first systematic empirical study in the financial domain to characterize how an adversarial signal enters a multi-agent trading system and how far it survives toward the decision, and evaluates four communication topologies under data- and agent-level attacks.

CheolWon Na, Hao Ni, Lukasz Szpruch et al. · 0 citations

#natural language process... Preprint Aug 2026

A^2Agent: Action-Aware Reinforcement Learning for Repository-Level Code Localization Agents

An action-aware reinforcement learning method that combines a per-turn reward sequence rewarding both the discovery and commitment of gold code regions with an action-level advantage estimation scheme that isolates each action's credit by grouping turns sharing the same exploration context is proposed.

Doyeon Kim, Suyoung Bae, Yu-Min Lee et al. · 1 citation