collaborators

7 papers

hep-lat2026

LQCDMaster: Agentic Scientific Computing for Lattice Quantum Chromodynamics Research

Haofei Gao, Tingjia Miao, Wenkai Jin +12

Lattice quantum chromodynamics (LQCD) provides a first-principles framework for computing hadronic observables, but its practical use remains limited by the substantial expertise r…

cs.LG2026

PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research

Tingjia Miao, Wenkai Jin, Muhua Zhang +19

The paradigm of agentic science requires AI systems to conduct robust reasoning and engage in long-horizon, autonomous exploration. However, current scientific benchmarks remain co…

cs.AI2026

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale

Xinyu Zhu, Yuzhu Cai, Zexi Liu +20

The convergence of large language models and agents is catalyzing a new era of scientific discovery: Agentic Science. However, common agent infrastructure is repeatedly rebuilt acr…

cs.CL2025

FASTRIC: Prompt Specification Language for Verifiable LLM Interactions

Wen-Long Jin

Large Language Models (LLMs) execute complex multi-turn interaction protocols but lack formal specifications to verify execution against designer intent. We introduce FASTRIC, a Pr…

cs.AI2025

PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research

Tingjia Miao, Wenkai Jin, Jinxin Tan +22

Advances in LLM reasoning and tool use have enabled agentic science, yet frontier theoretical and computational physics remains challenging because research requires deep domain ex…

eess.SY2025

Provably safe and human-like car-following behaviors: Part 2. A parsimonious multi-phase model with projected braking

Wen-Long Jin

Ensuring safe and human-like trajectory planning for automated vehicles amidst real-world uncertainties remains a critical challenge. While existing car-following models often stru…

eess.SY2025

Provably safe and human-like car-following behaviors: Part 1. Analysis of phases and dynamics in standard models

Wen-Long Jin

Trajectory planning is essential for ensuring safe driving in the face of uncertainties related to communication, sensing, and dynamic factors such as weather, road conditions, pol…