2 citations · 3 across the 15 of their papers we have counts for
6 papers · 1 filter
How Linear Attention Remembers
Kichang Lee, JaeYeon Park, Songkuk Kim +1
Linear attention replaces the growing key--value (KV) cache of standard attention with a fixed-size recurrent state, substantially reducing memory growth with context length. This…
When the Strike Zone Becomes Algorithmic: Umpire Judgment and Player Challenge Decisions under AI Review
Kichang Lee, Gyeongmin Han, Sungmin Lee +1
The Automated Ball-Strike challenge system that Major League Baseball adopted in 2026 offers a distinctive setting for studying human AI interaction in which umpires make every bal…
Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning
Michael Khavkin, Kichang Lee, Jaeho Jin +2
Federated Learning (FL) with Differential Privacy (DP) is increasingly adopted to preserve data confidentiality in distributed machine learning. However, DP noise distorts learned…
Unified Pitch Graphs for Diagnosing Pitching Strategy
Kichang Lee, JeongGil Ko
Pitching strategy in baseball is expressed through both physical execution and the ordered context in which pitches are used, yet common representations collapse pitches into discr…
Auditing Contextual Bias in Human Ball-Strike Calls Using KBO's Automated Umpiring Transition
Kichang Lee, JeongGil Ko
This paper uses the Korean Baseball Organization's adoption of the Automated Ball-Strike (ABS) system to audit long-standing claims about contextual bias in human ball-strike calls…
Temperature Scaling Attack Disrupting Model Confidence in Federated Learning
Kichang Lee, Jaeho Jin, JaeYeon Park +2
Predictive confidence serves as a foundational control signal in mission-critical systems, directly governing risk-aware logic such as escalation, abstention, and conservative fall…