Zhixue Zhao

Most-cited papers

1. Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering

   Marco Valentino, Geonhee Kim, Dhairya Dalal, Zhixue Zhao +1 more

   2025AAAI Conference on Artificial Intelligence47 citations

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2. AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions

   Jianxin Li, Liang Qu, Tao-Tao Cai, Zhixue Zhao +12 more

   2025Knowledge-Based Systems22 citations Open access

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3. Revisiting Pruning vs Quantization for Small Language Models

   Zihan Zhou, Simon Kurz, Zhixue Zhao

   2025Conference on Empirical Methods in Natural Language Processing6 citations Open access

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4. Efficient Pruning of Text-to-Image Models: Insights from Pruning Stable Diffusion

   S. Ramesh, Zhixue Zhao

   2024arXiv.org6 citations

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5. RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning

   Jason Chan, Robert J. Gaizauskas, Zhixue Zhao

   2024International Conference on Machine Learning4 citations

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6. The FAIR database: facilitating access to public health research literature

   Zhixue Zhao, James Thomas, Gregory Kell, C. Stansfield +5 more

   2024JAMIA Open3 citations Open access

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7. Rulebreakers Challenge: Revealing a Blind Spot in Large Language Models' Reasoning with Formal Logic

   Jason Chan, Robert J. Gaizauskas, Zhixue Zhao

   2024arXiv.org2 citations

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8. How Robust is Model Editing after Fine-Tuning? An Empirical Study on Text-to-Image Diffusion Models

   Feng He, Zhen-Yang Liu, M. Valentino, Zhixue Zhao

   2025arXiv.org1 citations

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9. Minimal, Local, and Robust: Embedding-Only Edits for Implicit Bias in T2I Models

   Feng He, Chao Zhang, Zhixue Zhao

   2025Conference on Empirical Methods in Natural Language Processing1 citations Open access

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10. Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment

    Feng-Qi He, Chao Zhang, Zhixue Zhao

    2024arXiv.org1 citations

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11. KidsArtBench: Multi-Dimensional Children's Art Evaluation with Attribute-Aware MLLMs

    Ming-Rui Ye, Chanjin Zheng, Zengyi Yu, Chen Xiang +3 more

    2025arXiv.org0 citations

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12. Position: On the Methodological Pitfalls of Evaluating Base LLMs for Reasoning

    Jason Chan, Zhixue Zhao, Robert J. Gaizauskas

    2025arXiv.org0 citations

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13. Estimating regional shared trailer demand in drop-and-pull transport

    M. Feng, Qianwei Peng, Zhixue Zhao

    2025Alexandria Engineering Journal0 citations Open access

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14. Rulebreakers Challenge: Revealing a Blind Spot in Large Language Models’ Reasoning with Formal Logic

    Jason Chan, Robert J. Gaizauskas, Zhixue Zhao, Marah Abdin +334 more

    0 citations

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