---
title: "Yue Zhao — papers of 2026 — 4 papers, the most cited first"
description: "Yue Zhao — papers of 2026: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Yue Zhao — papers of 2026 — 4 papers, the most cited first

4 papers · [all years of Yue Zhao](https://md.research.elamur.ai/free/en/authors/yue-zhao/#years)

**[Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference](https://md.research.elamur.ai/free/en/papers/yuan-2026-quantifying-impact-structured-output-format/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Yuan, Yue Zhao, Li Zhang, et al.*2026 · 2 citations*

**[CoAct: Co-Active LLM Preference Learning with Human-AI Synergy](https://md.research.elamur.ai/free/en/papers/xu-2026-coact-co-active-llm-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruiyao Xu, Mihir Parmar, Tiankai Yang, et al.*2026 · 1 citation*

**[Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS](https://md.research.elamur.ai/free/en/papers/zhao-2026-self-emoq-plutchik-guided-value/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yue Zhao, Hongyan Li, Yong Chen, et al.*2026*

**[Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-topology-matters-measuring-memory-leakage/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinbo Liu, Defu Cao, Yifei Wei, et al.*2026*