3 papers
cs.AI2025
DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs
Yuanhao Li, Mingshan Liu, Hongbo Wang +3
Large Language Models (LLMs) have shown impressive capabilities in multi-step reasoning and problem-solving.Recent works introduce multi-agent reflection frameworks where multiple…
cs.AI2025
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection
MingShan Liu, Jialing Fang
Large language models (LLMs) have demonstrated strong mathematical reasoning capabilities but remain susceptible to hallucinations producing plausible yet incorrect statements espe…
physics.acc-ph2015
Longitudinal jitter analysis of linear accelerator electron gun
Liu Mingshan, Pei Shilun, Munawar Iqbal
We present measurement and analyses of longitudinal timing jitter of Beijing Electron Positron Collider (BEPCII) linear accelerator electron gun. We simulated longitudinal jitter e…