1 citations · 1 across the 7 of their papers we have counts for
9 papers
A Theory of LLM Information Susceptibility
Zhuo-Yang Song, Hua Xing Zhu
Large language models (LLMs) are increasingly deployed as optimization modules in agentic systems, yet the fundamental limits of such LLM-mediated improvement remain poorly underst…
An End-to-end Architecture for Collider Physics and Beyond
Shi Qiu, Zeyu Cai, Jiashen Wei +7
We present, to our knowledge, the first language-driven agent system capable of executing end-to-end collider phenomenology tasks, instantiated within a decoupled, domain-agnostic…
Detailed balance in large language model-driven agents
Zhuo-Yang Song, Qing-Hong Cao, Ming-xing Luo +1
Large language model (LLM)-driven agents are emerging as a powerful new paradigm for solving complex problems. Despite the empirical success of these practices, a theoretical frame…
Collins-type fragmentation energy correlator in semi-inclusive deep inelastic lepton-hadron scattering
Qing-Hong Cao, Zhite Yu, C. -P. Yuan +2
We initiate a systematic study of fragmentation energy correlators (FECs), which generalize traditional fragmentation functions and encode non-perturbative information about transv…
Iterated Agent for Symbolic Regression
Zhuo-Yang Song, Zeyu Cai, Shutao Zhang +8
Symbolic regression (SR), the automated discovery of mathematical expressions from data, is a cornerstone of scientific inquiry. However, it is often hindered by the combinatorial…
Dihadron Angular Correlations in the Collision
Wan-Li Ju, Zhe-Yan Shu, Tong-Zhi Yang +2
The precision of fixed-order calculations on the dihadron production in electron-positron annihilation is paramount for probing QCD factorization and constraining non-perturbative…
Energy-Energy Correlator at Hadron Colliders: Celestial Blocks and Singularities
Hao Chen, Hongyi Ruan, Hua Xing Zhu
Energy-energy correlator (EEC) is an event shape observable that characterizes the distribution of energy flux in collision events. We initiate the study of full-range EEC at hadro…
Bridging the Dimensional Chasm: Uncover Layer-wise Dimensional Reduction in Transformers through Token Correlation
Zhuo-Yang Song, Zeyu Li, Qing-Hong Cao +2
The geometric evolution of token representations in large language models (LLMs) presents a fundamental paradox: while human language inherently organizes semantic information in l…
Explainable AI-assisted Optimization for Feynman Integral Reduction
Zhuo-Yang Song, Tong-Zhi Yang, Qing-Hong Cao +2
We present a novel approach to optimizing the reduction of Feynman integrals using integration-by-parts identities. By developing a priority function through the FunSearch algorith…