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Peilin Zhao

Peilin Zhao has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Bingzhe Wu, Deheng Ye, Hao Wang.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 56 · 312 works · 12,600 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 120 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #8676

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. 14 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. Fairness-guided Few-shot Prompting for Large Language Models (2023 · 64 citations)
    In-context learning in large language models is unstable: accuracy can change sharply depending on which few-shot demonstrations are chosen and how they are ordered.
  2. The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games (2026)
    LLM agents for social deduction games (SDGs) usually concentrate on deducing hidden roles and choosing a strategy.

All works

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

  1. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetTian Bian et al.2020 · 811 citations
  2. Graph Convolutional Networks for Temporal Action Localization ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetRunhao Zeng et al.2019 · 557 citations
  3. Mastering Complex Control in MOBA Games with Deep Reinforcement Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDeheng Ye et al.2020 · 293 citations
  4. Online ARIMA Algorithms for Time Series Prediction ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChenghao Liu et al.2016 · 193 citations
  5. Adversarial Sparse Transformer for Time Series Forecasting ↗neural information processing systems · no summary yetSifan Wu et al.2020 · 109 citations
  6. Fairness-guided Few-shot Prompting for Large Language ModelsarXiv:2303.13217Huan Ma, Changqing Zhang, Yatao Bian, et al.2023 · 64 citations
  7. Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetZhen Hai et al.2016 · 62 citations

 Co-authors here

6 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 120 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

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