4 citations · 5 across the 15 of their papers we have counts for
11 papers · 1 filter
Same Question, Different Answers: Auditing Persona-Dependent Variation in Six LLMs on Smoking-Cessation Advice
Artin Yousefi, Aizierjiang Aiersilan, Lorien C Abroms +1
Hundreds of millions of people now ask large language model (LLM) chatbots for health advice, which raises a question that is simple to pose and hard to answer: does everyone get t…
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.…
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…
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…
Representations of 3D Rotations: Mathematical Foundations and Comparative Analysis
Aizierjiang Aiersilan, Haochen Liu, James Hahn
Rotation representations are foundational in fields such as computer graphics, robotics, and machine learning, where precise and efficient modeling of 3D orientations is critical.…
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 cha…
Neuro-Oracle: A Trajectory-Aware Agentic RAG Framework for Interpretable Epilepsy Surgical Prognosis
Aizierjiang Aiersilan, Mohamad Koubeissi
Predicting post-surgical seizure outcomes in pharmacoresistant epilepsy is a clinical challenge. Conventional deep-learning approaches operate on static, single-timepoint pre-opera…
Soft-Label Governance for Distributional Safety in Multi-Agent Systems
Aizierjiang Aiersilan, Raeli Savitt
Multi-agent AI systems exhibit emergent risks that no single agent produces in isolation. Existing safety frameworks rely on binary classifications of agent behavior, discarding th…
The Vibe-Check Protocol: Quantifying Cognitive Offloading in AI Programming
Aizierjiang Aiersilan
The integration of Large Language Models (LLMs) into software engineering education has driven the emergence of ``Vibe Coding,'' a paradigm where developers articulate high-level i…
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.…