2 papers
cs.LG2026
Rethinking State Tracking in Recurrent Models Through Error Control Dynamics
Jiwan Chung, Heechan Choi, Seon Joo Kim
The theory of state tracking in recurrent architectures has predominantly focused on expressive capacity: whether a fixed architecture can theoretically realize a set of symbolic t…
cs.CV2025
A Training-Free, Task-Agnostic Framework for Enhancing MLLM Performance on High-Resolution Images
Jaeseong Lee, Yeeun Choi, Heechan Choi +2
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in vision-language understanding, reasoning, and generation. However, they struggle with tasks re…