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Yichen Wang

Yichen Wang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Bias, fairness & safety, Vision & language; often with Akihiro Tamura, Chao Shen, Chengzhengxu Li.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 12 · 87 works · 631 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 82 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #8233

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 31 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Jailbreak Large Vision-Language Models Through Multi-Modal Linkage (2025 · 20 citations)
    This ACL 2025 paper studies why structure-based jailbreaks of large vision-language models (VLMs) succeed on open models such as LLaVA or MiniGPT-4 but largely fail on frontier systems like GPT-4o.
  2. Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better (2024 · 16 citations)
    The paper tackles detection of machine-generated text (MGT) and addresses three weaknesses of DetectGPT. Its random perturbations can inject noise. It reduces perturbation to a single probability-difference score. Its threshold-based logit regression generalizes poorly and fails on single or small-batch inputs. The…
  3. Interpretable ICD Code Classification with Faithful Sentence Extraction (2026)
    Transformer models such as PLM-CA lead automatic ICD coding of discharge summaries, but their attention weights are not reliable explanations.

All works

6 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. Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems ↗arXiv:1904.04381 · no summary yetJiaxuan You et al.2019 · 127 citations
  2. SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetAbe Hou et al.2024 · 77 citations
  3. Improving Pacing in Long-Form Story Planning ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetYichen Wang et al.2023 · 12 citations

 Co-authors here

9 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 82 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

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