most citedAlignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis

Arif Hassan Zidan, Yi Pan, Bowen Guo +5

Q-matrices play a central role in cognitive diagnosis within educational data mining (EDM), specifying which latent skills each assessment item requires. Data-driven Q-matrix estim…

quant-ph2026

Identifying the Sign of Coherent Over-Rotations with Logarithmically Many Pauli Settings

Yi Pan, Meng Hsiu Tsai, Weihang You +6

Calibrating a quantum processor means estimating gate-error parameters from data, and a hard-to-estimate parameter is usually assumed to leave a weak signature more repetitions wil…

cs.AI2026

Toward Vibe Medicine: A Self-Evolving Multi-Agent Framework for Clinical Decision Support

Qianxue Zhang, Yiming Ren, Shihuan Qin +18

In recent years, the advances of large language models and autonomous agents have revolutionized the healthcare field, facilitating diagnosis and improving treatment results. Howev…

quant-ph2025

CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification

Junhao Chen, Yifan Zhou, Hanqi Jiang +6

Quantum compute is scaling fast, from cloud QPUs to high throughput GPU simulators, making it timely to prototype quantum NLP beyond toy tasks. However, devices remain qubit limite…

cs.LG2025

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding

Afrar Jahin, Yi Pan, Yingfeng Wang +2

Although recent advances in quantum machine learning (QML) offer significant potential for enhancing generative models, particularly in molecular design, a large array of classical…

cs.AI2025★ 2 cited

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges

Haoran Lu, Luyang Fang, Ruidong Zhang +47

Due to the remarkable capabilities and growing impact of large language models (LLMs), they have been deeply integrated into many aspects of society. Thus, ensuring their alignment…

q-bio.NC2025

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems

Sohan Shankar, Yi Pan, Hanqi Jiang +43

This position and survey paper identifies the emerging convergence of neuroscience, artificial general intelligence (AGI), and neuromorphic computing toward a unified research para…