activity
20242026
most citedAlignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges

2 citations · 8 across the 22 of their papers we have counts for

collaborators

21 papers

cs.CR2026

ASTELD: A Six-Axis Classification Framework for Autonomous AI Agents - Design, Evaluation, and an OpenClaw Case Study

Siyuan Li, Peng Shu, Churan Yu +19

Autonomous AI agent platforms differ substantially in architecture, security, tool integration, execution, autonomy, and deployment, yet the field lacks a common classification sch…

quant-ph2026

Absent, Not Faint: Fisher-Information Limits and a Logarithmic Measurement-Design Cure for Passive Characterization of Coherent Qubit Noise

Yi Pan, Meng Hsiu Tsai, Weihang You +6

Calibrating a quantum processor means estimating error parameters, and estimation theory usually assumes a parameter hard to estimate is faint: its signal is weak but present, so m…

cond-mat.other2026

An Interaction Language Model: Mechanism Discovery from Statistical Patterns of Physical Interactions

Triparna Ganguly, Hanqi Jiang, Xinliang Li +5

Interactions among building blocks in physical, chemical, and biological systems follow structured patterns interpretable as a learnable language: just as language models learn whi…

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…

cs.CL2026

SYNAPSE: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation

Hanqi Jiang, Junhao Chen, Yi Pan +8

While Large Language Models (LLMs) excel at generalized reasoning, standard retrieval-augmented approaches fail to address the disconnected nature of long-term agentic memory. To b…

cs.CL2026

Large Language Models for Assisting American College Applications

Zhengliang Liu, Weihang You, Peng Shu +14

American college applications require students to navigate fragmented admissions policies, repetitive and conditional forms, and ambiguous questions that often demand cross-referen…