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Yulong Wang

Yulong Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety, Vision & language.

2 papers in our library · 2026

OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12320

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

🎓Beijing University of Posts and TelecommunicationsBeijing · 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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Reference Attack: A New Cross-Modal Jailbreaking Attack against Multimodal Large Language Models (2026)
    The paper presents Reference Attack, a black-box jailbreak technique for multimodal large language models (MLLMs).
  2. TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like Models (2026)
    Parameter-efficient fine-tuning (PEFT) involves a trade-off. Low-rank adapters such as LoRA add many trainable weights and need rank and scale settings. Cheap representation editors such as RED apply one transformation to every token and miss token-level context. The authors observe that the per-token optimal scaling…

Venues

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

Updated

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