---
title: "Juanzi Li — papers of 2026 — 6 papers, the most cited first"
description: "Juanzi Li — papers of 2026: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Juanzi Li — papers of 2026 — 6 papers, the most cited first

6 papers · [all years of Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/#years)

**[SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-superwriter-reflection-driven-long-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuhao Wu, Yushi Bai, Zhiqiang Hu, et al.*2026 · 6 citations*

**[DeepPrune: Parallel Scaling without Inter-trace Redundancy](https://md.research.elamur.ai/free/en/papers/tu-2026-deepprune-parallel-scaling-without-inter/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shangqing Tu, Yaxuan Li, Yushi Bai, et al.*2026 · 3 citations*

**[Can Large Language Models Effectively Support Decision-Making in Sudden Emergencies?](https://md.research.elamur.ai/free/en/papers/zhu-2026-can-large-language-models-effectively/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mengna Zhu, Jibing Wu, Lihua Liu, et al.*2026*

**[Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards](https://md.research.elamur.ai/free/en/papers/zhang-2026-chaining-evidence-robust-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiajie Zhang, Xin Lv, Ling Feng, et al.*2026*

**[From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent](https://md.research.elamur.ai/free/en/papers/wang-2026-knowing-teaching-scaffolding-pedagogical-decisions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yucheng Wang, Shen Yang, Jifan Yu, et al.*2026*

**[WildReward: Learning Reward Models from In-the-Wild Human Interactions](https://md.research.elamur.ai/free/en/papers/peng-2026-wildreward-learning-reward-models-wild/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2026*