Elamur Research⌕
☰
home / authors / Xue Yang

Xue Yang

Xue Yang has 3 papers in our library, in 2026, most of them on Reasoning, Bias, fairness & safety, Language models & pretraining; often with Yu Tian, Baotian Hu, Hang Su.

3 papers in our library · 2026

OpenAlex · h-index 0 · 5 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 7 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10118

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Shanghai Jiao Tong UniversityShanghai · China2026 · 4 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 workComputer Networks and Communications · 1 work

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 2 worksBias, fairness & safety · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Red Teaming Large Reasoning Models (2026 · 7 citations)
    Large Reasoning Models (LRMs) produce explicit chains of thought. This visible reasoning creates attack surfaces that standard LLM evaluations miss, and earlier benchmarks examined single threats in isolation without comparing LRMs to their base LLMs. The authors introduce Rt-LRM, a unified red-teaming benchmark that…
  2. ComfyUI-R1: Exploring Reasoning Models for Workflow Generation (2026 · 1 citation)
    ComfyUI is a node-based platform for building image and video generation pipelines. Assembling a working workflow there takes real expertise, because the platform has thousands of community components with complex dependencies. Earlier automation attempts prompted proprietary LLMs or multi-agent setups to emit JSON…
  3. Safe-FedLLM: Delving into the Safety of Federated Large Language Models (2026)
    Federated fine-tuning of LLMs (FedLLM) lets parties train jointly without pooling raw data. Little is known about how to defend such systems against malicious clients when the server sees only LoRA updates. The authors built a testbed on OpenFedLLM and FedLLM-Attack using Llama3.1-8B and Qwen2.5-7B. Benign clients…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Red Teaming Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Chen, Yang Yang, Chao Yu, et al.2026 · 7 citations
  2. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
  3. Safe-FedLLM: Delving into the Safety of Federated Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingxiang Tao, Yu Tian, Wenxuan Tu, et al.2026
  4. SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetXinyi Zeng et al.2026
  5. DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetLifan Zheng et al.2026

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xue-yang/