3 papers
cs.AI2026
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
Dongmin Park, Minkyu Kim, Beongjun Choi +13
Large Language Model (LLM) agents are reshaping the game industry, by enabling more intelligent and human-preferable characters. Yet, current game benchmarks fall short of practica…
cs.CV2026
STAG: Structural Test-time Alignment of Gradients for Online Adaptation
Juhyeon Shin, Yujin Oh, Jonghyun Lee +5
Test-Time Adaptation (TTA) adapts pre-trained models using only unlabeled test streams, requiring real-time inference and update without access to source data. We propose Structura…
physics.flu-dyn2024
Modeling and simulations of high-density two-phase flows using projection-based Cahn-Hilliard Navier-Stokes equations
Ali Rabeh, Makrand A. Khanwale, John J. Lee +1
Accurately modeling the dynamics of high-density ratio () two-phase flows is important for many material science and manufacturing applications. This work consid…