---
title: "Yang Xiao — papers of 2026 — 6 papers, the most cited first"
description: "Yang Xiao — 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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# Yang Xiao — papers of 2026 — 6 papers, the most cited first

6 papers · [all years of Yang Xiao](https://md.research.elamur.ai/free/en/authors/yang-xiao/#years)

**[AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts](https://md.research.elamur.ai/free/en/papers/li-2026-agencybench-benchmarking-frontiers-autonomous-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Keyu Li, Junhao Shi, Yang Xiao, et al.*2026 · 4 citations*

**[SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs](https://md.research.elamur.ai/free/en/papers/sun-2026-sepseq-training-free-framework-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jie Sun, Yu Liu, Lu Han, et al.*2026 · 1 citation*

**[Adapting Where It Matters: Depth-Aware Adaptation for Efficient Multilingual Speech Recognition in Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/xiao-2026-adapting-where-it-matters-depth/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Xiao, Eun-Jung Holden, Ting Dang*2026*

**[Large-Scale Multimodal Knowledge Graph about Classical Chinese Poetry: Fine-grained Method and Comprehensive Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-large-scale-multimodal-knowledge-graph/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuo Wang, Qing Zhu, Yang Xiao, et al.*2026*

**[Privacy Risks of Intermediate Representations: Attribute Inference in Distributed LLM Inference](https://md.research.elamur.ai/free/en/papers/lyu-2026-privacy-risks-intermediate-representations-attribute/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Lyu, Jin Cao, Yang Xiao, et al.*2026*

**[UNIVID: Unified Vision-Language Model for Video Moderation](https://md.research.elamur.ai/free/en/papers/yang-2026-univid-unified-vision-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kejuan Yang, Yizhuo Zhang, Mingyuan Du, et al.*2026*