From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 more institutions on single bylines are not listed.

Fields, topics and concepts

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

📚 Shelves 5Arts and Humanities · 1 work Computer Science · 1 work Artificial Intelligence · 1 work Computer Vision and Pattern Recognition · 1 work Language and Linguistics · 1 work

🧭 Topics 3Language models & pretraining · 2 works Bias, fairness & safety · 1 work Reasoning · 1 work

Works by year

2020s

20251 paper 20231 paper

Papers

The most cited first (OpenAlex and our library).

Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations (2023 · 130 citations)
Aligned LLMs can still be manipulated into producing harmful output. Existing jailbreaks are either expensive, relying on iterative optimization as in GCG or AutoDAN, or rigid hand-written templates. Wei et al. show that in-context learning alone can push a model's safety behaviour in either direction.
When More is Less: Understanding Chain-of-Thought Length in LLMs (2025 · 73 citations)
The paper asks whether longer Chain-of-Thought (CoT) reasoning always helps LLMs. The authors argue that it does not. They combine three lines of evidence: measurements on public models, controlled experiments, and a formal model. Public models include the Qwen2.5 Instruct series on MATH Level 5, plus RL runs. The…

All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

Symmetric Cross Entropy for Robust Learning With Noisy Labels ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYisen Wang et al.2019 · 1,012 citations
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ↗arXiv (Cornell University) · no summary yetXingjun Ma et al.2018 · 464 citations
Adversarial Weight Perturbation Helps Robust Generalization ↗neural information processing systems · no summary yetDongxian Wu, Shu‐Tao Xia, Yisen Wang2020 · 225 citations
Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsarXiv:2310.06387Zeming Wei, Yifei Wang, Ang Li, et al.2023 · 130 citations
When More is Less: Understanding Chain-of-Thought Length in LLMsarXiv:2502.07266Yuyang Wu, Yifei Wang, Ziyu Ye, et al.2025 · 73 citations
Hilbert-Based Generative Defense for Adversarial Examples ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYang Bai et al.2019 · 52 citations

Co-authors here

5 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.

IEEE/CVF International Conference on Computer Vision (ICCV) ×2
neural information processing systems

Cited by

Papers of our library cite their works 274 times (of the 149,439 papers whose bibliographies we read); 65 citing papers with a page here →.

Updated 2 November 2026

↑ back to top

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

🧑‍🔬 Yisen Wang

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Yisen Wang

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by