--- title: "Fei Qing Wu — papers of 2026 — 4 papers, the most cited first" description: "Fei Qing Wu — 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/fei-qing-wu/year/2026/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fei-qing-wu/year/2026/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Fei Qing Wu](https://md.research.elamur.ai/free/en/authors/fei-qing-wu/) / 2026 # Fei Qing Wu — papers of 2026 — 4 papers, the most cited first 4 papers · [all years of Fei Qing Wu](https://md.research.elamur.ai/free/en/authors/fei-qing-wu/#years) **[Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-step-potential-advantage-estimation-harnessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fei Wu, Zhenrong Zhang, Qikai Chang, et al.*2026 · 11 citations* **[InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection](https://md.research.elamur.ai/free/en/papers/liu-2026-infiguiagent-multimodal-generalist-gui-agent/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yuhang Liu, Pengxiang Li, Zishu Wei, et al.*2026 · 10 citations* **[Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation](https://md.research.elamur.ai/free/en/papers/si-2026-mitigating-structural-knowledge-collapse-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Si, Zheqi Lv, Chengxi Zang, et al.*2026* - [SteuerLLM: Local specialized large language model for German tax law analysis arXiv:2602.11081 · Scientific Reports, Volume 16, 2026](https://md.research.elamur.ai/free/en/papers/wind-2026-steuerllm-local-specialized-large-language/) — Sebastian Wind, Jeta Sopa, Laurin Schmid, et al. · 2026