activity
20232026
most citedExternalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

6 citations · 7 across the 7 of their papers we have counts for

collaborators

8 papers

math.OC2026

ORSMT: Unleashing the Potential of Satisfiability Modulo Theories for Semantic Verification and Repair in LLM-Based Optimization

Rui Zhang, Chenyu Zhou, Jianghao Lin +3

Large language models increasingly automate optimization modeling from natural language problems, producing written mathematics, solver code and a returned report. Verifying one op…

cs.CL2026

Skill2Query: Exploiting Skill Structure to Generate Pseudo-Queries for Agent Skill Retrieval

Lihui Ding, Zihan Guo, Bingwei Lu +5

Pseudo-query generation can alleviate the supervision bottleneck for agent skill retrieval, but existing document-level approaches typically leave the rich internal relations among…

cs.LG2026

GraphBU: MILP Instance Generation with Graph-Native Block Units

Xiaolei Guo, Chenyu Zhou, Jianghao Lin +1

Mixed-integer linear programming (MILP) instances used for solver development are hard to obtain when models come from private or application-specific pipelines. A generator must k…

cs.LG2026

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention

Chenyu Zhou, Hongpei Li, Yuerou Liu +3

Linear attention and state-space models offer constant-memory alternatives to softmax attention, but often struggle with in-context associative recall. The Delta Rule mitigates thi…

cs.SE2026★ 6 cited

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

Chenyu Zhou, Huacan Chai, Wenteng Chen +18

Large language model (LLM) agents are increasingly built less by changing model weights than by reorganizing the runtime around them. Capabilities that earlier systems expected the…

cs.AI2025

StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models

Chenyu Zhou, Tianyi Xu, Jianghao Lin +1

Large Language Models (LLMs) have shown promising capabilities for solving Operations Research (OR) problems. While reinforcement learning serves as a powerful paradigm for LLM tra…

cs.AI2025

Auto-Formulating Dynamic Programming Problems with Large Language Models

Chenyu Zhou, Jingyuan Yang, Linwei Xin +3

Dynamic programming (DP) is a fundamental method in operations research, but formulating DP models has traditionally required expert knowledge of both the problem context and DP te…

cs.CY2023★ 1 cited

Harnessing Web3 on Carbon Offset Market for Sustainability: Framework and A Case Study

Chenyu Zhou, Hongzhou Chen, Shiman Wang +3

Blockchain, pivotal in shaping the metaverse and Web3, often draws criticism for high energy consumption and carbon emission. The rise of sustainability-focused blockchains, especi…