activity
20232026
collaborators

7 papers

physics.comp-ph2026

Co-Authoring with AI: How I Wrote a Physics Paper About AI, Using AI

Yi Zhou

The rapid integration of Large Language Models (LLMs) into scientific writing fundamentally challenges traditional definitions of authorship, responsibility, and scientific integri…

physics.comp-ph2026

From Paper to Program: Specification-Guided Implementation of Quantum Many-Body Algorithms with Large Language Model

Yi Zhou

Turning scientific papers into reliable code requires making implicit computational knowledge explicit. We introduce and evaluate a human-supervised workflow in which large languag…

cs.SE2026

Adaptive Confidence Gating in Multi-Agent Collaboration for Efficient and Optimized Code Generation

Haoji Zhang, Yuzhe Li, Zhenqiang Liu +3

While Large Language Models (LLMs) have catalyzed breakthroughs in automated code generation, Small Language Models (SLMs) often encounter reasoning bottlenecks and failure loops w…

cs.CL2025

KELPS: A Framework for Verified Multi-Language Autoformalization via Semantic-Syntactic Alignment

Jiyao Zhang, Chengli Zhong, Hui Xu +2

Modern large language models (LLMs) show promising progress in formalizing informal mathematics into machine-verifiable theorems. However, these methods still face bottlenecks due…

cs.CL2024

Brain-Inspired Two-Stage Approach: Enhancing Mathematical Reasoning by Imitating Human Thought Processes

Yezeng Chen, Zui Chen, Yi Zhou

Although large language models demonstrate emergent abilities in solving math word problems, there is a challenging task in complex multi-step mathematical reasoning tasks. To impr…

cs.CL2024

An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning

Zui Chen, Yezeng Chen, Jiaqi Han +3

Large language models (LLMs) are displaying emergent abilities for math reasoning tasks,and there is a growing attention on enhancing the ability of open-source LLMs through superv…

cs.CL2023

Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset

Haoyi Wu, Wenyang Hui, Yezeng Chen +3

Mathematical understanding and reasoning are crucial tasks for assessing the capabilities of artificial intelligence (AI). However, existing benchmarks either require just a few st…