13 papers
Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification
Aizierjiang Aiersilan
Deploying 3D point cloud analysis in privacy-sensitive, resource-constrained settings faces two barriers: data cannot be centralized, and models must run on limited edge hardware.…
Hallucination Is Linearly Decodable from Mid-Layer Hidden States in Quantized LLMs
Aizierjiang Aiersilan
We investigate whether open-source LLMs encode a linearly separable truthfulness signal in their hidden states, and at which network depth this signal is strongest. Across three $7…
On Seeding Watermarks to Detect Verbatim LLM Copy-Paste Responses
Aizierjiang Aiersilan, Artin Yousefi, Robert Pless
Large language models (LLMs) have made fluent essay writing, code drafting, and quiz answering instantly available to students at every level, from secondary school through graduat…
Investigating Anthropometric Fidelity in SAM 3D Body
Aizierjiang Aiersilan, Ruting Cheng, James Hahn
The release of SAM 3D Body is a recent development in human mesh recovery, demonstrating improved performance in producing clean, topologically coherent meshes from single images.…
Training-Free Adaptive 360-degree Video Streaming via Semantic Potential Fields
Aizierjiang Aiersilan, Zhangfei Yang
Adaptive 360° video streaming for teleoperation faces two coupled challenges: viewport prediction under uncertain gaze patterns and bitrate adaptation over fluctuating wireless ch…
Algorithmic Authority and the Clinical Standard of Care
Aizierjiang Aiersilan
The integration of artificial intelligence into clinical medicine creates a fundamental tension between algorithmic probabilistic reasoning and the experiential intuition of expert…