1 citations · 1 across the 2 of their papers we have counts for
3 papers
q-fin.TR2026★ 1 cited
Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?
Weixian Waylon Li, Hyeonjun Kim, Mihai Cucuringu +1
Large Language Models (LLMs) have recently been leveraged for asset pricing tasks and stock trading applications, enabling AI agents to generate investment decisions from unstructu…
cs.CV2026
Learned Image Compression for Vision-Language-Action Models
Hyeonjun Kim, Jegwang Ryu, Sangbeom Ha +4
Vision-language-action (VLA) models increasingly rely on high-frequency multi-camera observations, making visual communication a major bottleneck for real-time robotic control in b…
cs.CL2026
AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing?
Hyunjong Ok, Suho Yoo, Hyeonjun Kim +1
Even without directly hearing sounds, humans can effortlessly reason about auditory properties, such as pitch, loudness, or sound-source associations, drawing on auditory commonsen…