🧑‍🔬 Yubing Ren

🏛️ Affiliations

🏛️Chinese Academy of SciencesBeijing · China2022–2026 · 21 paperscurrent🔬Institute of Information EngineeringBeijing · China2022–2026 · 21 papersEmploymentcurrent🎓University of Chinese Academy of SciencesBeijing · China2022–2026 · 20 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language Models (2026)
   Inference-time safety methods for LLMs often fail in multi-turn chats. They judge a question or answer on its own, apply the same defense instructions to every prompt, and ignore earlier turns. As a result, a request that looks harmless alone can become dangerous in context. The authors propose CogGSE, a…
2. Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection (2026)
   Zero-shot detectors of machine-written text usually average per-token statistics into a single score. This treats every token as equally useful, so the signal weakens on short inputs or after local edits. Exons-Detect is a training-free detector that weights tokens unequally, borrowing the exon/intron analogy from…
3. Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework (2026)
   Most LLM watermarks share a secret key between the embedding step and the detector. Outsiders such as courts, regulators or platform moderators therefore cannot check a watermark on their own. They must either trust the provider's word or obtain the key, and handing over the key makes forging or removing the…

All works

4 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. Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language ModelsFindings of the Association for Computational LinguisticsLanxue Zhang, Yuqiang Xie, Fang Fang, et al.2026
2. Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaowei Zhu, Yubing Ren, Fang Fang, et al.2026
3. Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party FrameworkFindings of the Association for Computational LinguisticsZhuoshang Wang, Yubing Ren, Yanan Cao, et al.2026
4. DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetHao Li et al.2026

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Fang Fang ×3
• Yanan Cao ×3
• Li Guo ×2
• Shi Wang

Venues

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

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Findings of the Association for Computational Linguistics: ACL 2026

Updated 2 November 2026

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