6 papers
Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization
Weixu Zhang, Ye Yuan, Changjiang Han +7
Large Language Models (LLMs) exhibit strong implicit personalization ability, yet most existing approaches treat this behavior as a black box, relying on prompt engineering or fine…
SoK of RWA Tokenization: A Systematization of Concepts, Architectures, and Legal Interoperability
Junliang Luo, Xihan Xiong, Zonglun Li +4
The global financial architecture is undergoing a shift from intermediary centric-settlement to programmable infrastructure, to transmute trillions in static illiquid capital into…
TensorCommitments: A Lightweight Verifiable Inference for Language Models
Oguzhan Baser, Elahe Sadeghi, Eric Wang +5
Most large language models (LLMs) run on external clouds: users send a prompt, pay for inference, and must trust that the remote GPU executes the LLM without any adversarial tamper…
CPSL: Representing Volumetric Video via Content-Promoted Scene Layers
Kaiyuan Hu, Yili Jin, Junhua Liu +3
Volumetric video enables immersive and interactive visual experiences by supporting free viewpoint exploration and realistic motion parallax. However, existing volumetric represent…
Privis: Towards Content-Aware Secure Volumetric Video Delivery
Kaiyuan Hu, Hong Kang, Yili Jin +4
Volumetric video has emerged as a key paradigm in eXtended Reality (XR) and immersive multimedia because it enables highly interactive, spatially consistent 3D experiences. However…
Toward Resilient Airdrop Mechanisms: Empirical Measurement of Hunter Profits and Airdrop Game Theory Modeling
Junliang Luo, Hong Kang, Shuhao Zheng +1
Airdrops issued by platforms are to distribute tokens, drive user adoption, and promote decentralized services. The distributions attract airdrop hunters (attackers), who exploit t…