3 papers
cs.CV2026
InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object Insertion
Hoiyeong Jin, Hyojin Jang, Junha Hyung +6
Recent advances in diffusion models have enabled impressive video editing capabilities, yet production-grade Video Object Insertion (VOI) remains challenging due to inadequate 4D s…
cs.AR2026
TriGen: NPU Architecture for End-to-End Acceleration of Large Language Models based on SW-HW Co-Design
Jonghun Lee, Junghoon Lee, Hyeonjin Kim +5
Recent studies have extensively explored NPU architectures for accelerating AI inference in on-device environments, which are inherently resource-constrained. Meanwhile, transforme…
cs.CL2025
Mitigating Length Bias in RLHF through a Causal Lens
Hyeonji Kim, Sujeong Oh, Sanghack Lee
Reinforcement learning from human feedback (RLHF) is widely used to align large language models (LLMs) with human preferences. However, RLHF-trained reward models often exhibit len…