---
title: "Yuxuan Lu — papers of 2026 — 4 papers, the most cited first"
description: "Yuxuan Lu — papers of 2026: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/yuxuan-lu/year/2026/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuxuan-lu/year/2026/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yuxuan Lu](https://md.research.elamur.ai/free/en/authors/yuxuan-lu/) / 2026

# Yuxuan Lu — papers of 2026 — 4 papers, the most cited first

4 papers · [all years of Yuxuan Lu](https://md.research.elamur.ai/free/en/authors/yuxuan-lu/#years)

**[OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation](https://md.research.elamur.ai/free/en/papers/wang-2026-opera-dataset-observation-persona-rationale/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyi Wang, Yuxuan Lu, Wenbo Li, et al.*2026 · 8 citations*

**[Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data](https://md.research.elamur.ai/free/en/papers/lu-2026-can-llm-agents-simulate-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Lu, Jing Huang, Yan Han, et al.*2026 · 2 citations*

**[Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents](https://md.research.elamur.ai/free/en/papers/wang-2026-trajectory2task-training-robust-tool-calling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyi Wang, Yuxuan Lu, Yimeng Zhang, et al.*2026 · 2 citations*

**[LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks](https://md.research.elamur.ai/free/en/papers/lu-2026-llms-now-fine-tuning-later/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.*2026*