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  <h3 class="w3-padding-64 w3-center"><b>Xufeng Duan</b></h3>
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    <h4><b>About Me</b></h4>
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      <h4>Xufeng Duan</h4>  
		I am a PhD candidate in the <a href="https://cuhklpl.github.io/">Language Processing Lab</a> at the Department of Linguistics, The Chinese University of Hong Kong (ranked among the top 50 in the QS rankings). I am seeking a RAP/AP position in 2025.  
		<br></br>  
		My research focuses on large language models (LLMs) and language production. I use behavioral, EEG, and fMRI data, along with computational methods, to explore the mechanisms of the language system. Additionally, I am trained and licensed in TMS for research purposes in Hong Kong and have completed an internship as a language therapist/researcher specializing in aphasia at the Third Affiliated Hospital of Sun Yat-sen University.  
		<br></br>
	    <br></br>
	    Email: xufeng.duan@link.cuhk.edu.hk<br></br>
	    <a href="https://scholar.google.com/citations?user=W-MI5XUAAAAJ">Google scholar</a><br></br>
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<!-- ======= Selected Research section ======= -->
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    <h4><b>Selected Research</b></h4>

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        <h5 style="margin: 0 0 8px 0;"><b>Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability</b></h5>
        <p style="margin: 0 0 8px 0;">Identifing interpretable units in large language models aligned with psycholinguistic effect, bridging model neurons and human linguistic competence.</p>
        <a href="https://aclanthology.org/2025.coling-main.677/" target="_blank">Link</a>
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        <h5 style="margin: 0 0 8px 0;"><b>MacBehaviour: An R package for behavioural experimentation on large language models</b></h5>
        <p style="margin: 0 0 8px 0;">An open-source R toolkit to help researchers quickly set up psychology behavioral experiments interacting with LLMs, either locally or in the cloud.</p>
        <a href="https://doi.org/10.3758/s13428-024-02524-y" target="_blank">Link</a>
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      <h4><b>Publications</b></h4>
	    Wang, S., <b>Duan, X.</b>, & Cai, Z. (2025). What to predict? Exploring how sentence structure influences contrast predictions in humans and large language models. <i>In T. Kuribayashi, G. Rambelli, E. Takmaz, P. Wicke, J. Li, & B.-D. Oh (Eds.), Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics</i> (pp. 244–252). NAACL 2025. <a href="https://aclanthology.org/2025.cmcl-1.28/" target="_blank">2025.cmcl-1.28</a><br></br>
	    Wu, H., <b>Duan, X.</b>, & Cai, Z. (2025). Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment. <i>In T. Kuribayashi, G. Rambelli, E. Takmaz, P. Wicke, J. Li, & B.-D. Oh (Eds.), Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics</i> (pp. 135–143). NAACL 2025. <a href="https://aclanthology.org/2025.cmcl-1.18/" target="_blank">2025.cmcl-1.18</a><br></br>
	    <b>Duan, X.</b>, Li, S., & Cai, Z. G. (2025). MacBehaviour: An R package for behavioural experimentation on large language models. <i>Behavior Research Methods</i>s, 57(1), 19. <a href=" https://doi.org/10.3758/s13428-024-02524-y">doi:10.3758/s13428-024-02524-y</a><br></br>
	    <b>Duan, X.</b>, Zhou, X., Xiao, B., & Cai, Z. (2025). Unveiling language competence neurons: A psycholinguistic approach to model interpretability. In O. Rambow, L. Wanner, M. Apidianaki, H. Al-Khalifa, B. D. Eugenio, & S. Schockaert (Eds.), <em>Proceedings of the 31st International Conference on Computational Linguistics (pp. 10148–10157). Association for Computational Linguistics.</em><a href="https://aclanthology.org/2025.coling-main.677/">https://aclanthology.org/2025.coling-main.677/</a><br></br>
	    Zhou, X., Chen, D., Cahyawijaya, S., <b>Duan, X.</b>, & Cai, Z. G. (2025). Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models. <em>Proceedings of the 31st International Conference on Computational Linguistics (pp. 6866–6888). Association for Computational Linguistics.</em> <a href="https://aclanthology.org/2025.coling-main.459//">https://aclanthology.org/2025.coling-main.459/</a><br></br>
            Tang, X., <b>Duan, X.</b>, & Cai, Z. G. (2024). Are LLMs Good Literature Review Writers? Evaluating the Literature Review Writing Ability of Large Language Models. arXiv preprint arXiv:2412.13612.<a href="https://doi.org/10.48550/arXiv.2412.13612 https://doi.org/10.48550/arXiv.2412.13612">doi:10.48550/arXiv:2412.13612</a><br></br>
	    *Wang, S., <b>*Duan, X.</b>, & Cai, Z. (2024). A Multimodal Large Language Model “Foresees” Objects Based on Verb Information but Not Gender. In Proceedings of the 28th Conference on Computational Natural Language Learning (pp. 435-441). <a href="https://doi.org/10.18653/v1/2024.conll-1.32">doi:10.18653/v1/2024.conll-1.32</a><br></br>
	    Qiu, Z., <b>Duan, X.</b>, & Cai, Z. (2024). Evaluating Grammatical Well-Formedness in Large Language Models: A Comparative Study with Human Judgments. In Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics (pp. 189-198).<a href = "https://doi.org/10.18653/v1/2024.cmcl-1.16"></a><br></br>
	    <b>Duan, X.</b>, Xiao, B., Tang, X., & Cai, Z. G. (2024). HLB: Benchmarking LLMs' Humanlikeness in Language Use. <i>arXiv:2409.15890 [cs.CL]</i>. <a href="https://doi.org/10.48550/arXiv.2409.15890">doi:10.48550/arXiv.2409.15890</a><br></br>
	    <b>Duan, X.</b>, & Cai, Z. G. (2024). Chinese Character Processing. <i>Oxford Research Encyclopedia of Linguistics</i>. Oxford University Press. <a href = "https://doi.org/10.1093/acrefore/9780199384655.013.1012">doi: 9780199384655.013.1012.</a><br></br>
	    H. Wu, <b>Duan, X.</b>, Cai, Z. G.(2024). Speaker Demographics Modulate Listeners' Neural Correlates of Spoken Word Processing. <i>Journal of Cognitive Neuroscience</i> 2024; 36 (10): 2208–2226.<a href="https://doi.org/10.1162/jocn_a_02225"> doi: 10.1162/jocn_a_02225</a><br></br>
	    Cai, Z., <b>Duan, X.</b>, Haslett, D., Wang, S., & Pickering, M. (2024). Do large language models resemble humans in language use?. In <i>Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics</i> (pp. 37-56).<a href = "https://doi.org/10.18653/v1/2024.cmcl-1.4"> doi:10.18653/v1/2024.cmcl-1.4</a><br></br>
	    Qiu, Z., <b>Duan, X.</b>, & Cai, Z. (2023). Does ChatGPT Resemble Humans in Processing Implicatures?. In Proceedings of the 4th Natural Logic Meets Machine Learning Workshop (pp. 25-34)<a href="https://aclanthology.org/2023.naloma-1.3">https://aclanthology.org/2023.naloma-1.3</a><br></br>
	    Lu, S., <b>Duan, X.</b> & Li X.(2021). Prominence and Locality Principle in Chinese Possessive Topicalization Sentences and its Psychological Basis——Evidence from eye-movements. <i> Contemporary Linguistics</i> 23(1): 56-73</i> <a href=https://www.dropbox.com/scl/fi/4ga7a5ssslaed72hx3i2v/Prominence-and-Locality-Principle-in-Chinese-Possessive-Topicalization-Sentences.pdf?rlkey=7rtvpqolr2xs6rtlychdtatwb&st=672mpgkb&dl=0>[pdf]</a><br></br>
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      <h4><b>Conference Talks/Papers</b></h4>
	    <b>Xufeng Duan</b> MacBehaviour: An R package for behavioural experimentation on large language models. (2024). <i>Architectures and Mechanisms for Language Processing Asia (AMLaP Asia)</i>. Singapore.<br></br>
	    <b>Xufeng Duan</b> The Neural Basis of Decline in Written Production: Evidence from Chinese Handwriting (2024). <i>The annual meeting of Society for the Neurobiology of Language (SNL) </i>. Brisbane, Australia.<br></br>
	    <b>Xufeng Duan</b> Humanlike language use in LLMs (2024). <i>CogSci Hong Kong Meetup</i> Hong Kong, China.<br></br>
	    <b>Xufeng Duan</b> Chinese translations of English words: A comparison between human and ChatGPT translations (2023). <i>Architectures and Mechanisms for Language Processing Asia (AMLaP Asia)</i>. Hong Kong, China.<br></br>
	     Zhenguang Cai, <b>Xufeng Duan</b>, Lu Sun and Martin PickeringStructural priming in ChatGPT (2023). <i>Architectures and Mechanisms for Language Processing Asia (AMLaP Asia)</i>. Hong Kong, China.<br></br>
	     Zhenguang Cai, <b>Xufeng Duan</b>, David Haslett, Shuqi Wang & Martin Pickering. Do language models resemble humans in language use (2023)? <i>Architectures and Mechanisms for Language Processing (AMLaP)</i>. Donostia-San Sebastián, Spain.<br></br>
	     Zhuang Qiu, <b>Xufeng Duan</b>, and Zhenguang Cai. Does ChatGPT Resemble Humans in Processing Implicatures (2023)? <i>Proceedings of the 4th Natural Logic Meets Machine Learning Workshop</i>, pages 25–34, Nancy, France. Association for Computational Linguistics.<br></br>
	    <b>Xufeng Duan</b>(2018). Language rehabilitation training therapies for Chinese aphasia— Using Chinese characters as clues. <i>Beyond A Limited Scope: Chinese for Specific, Academic, & Professional Purposes</i> Hawaii, US.<br></br>
	    <b>Xufeng Duan</b>(2018). The Dependence on different symbolic systems during word recognition-pronunciation tests by Chinese native speakers with aphasia——based on eye-movement methodology. <i>Annual Conference of the Chinese Society of Neurological Linguistics</i>. Xuzhou, China.<br></br>
	    <b>Xufeng Duan</b>(2018). The Rules of Prominency and Locality Psychological Reality Basis. <i>Annual Academic Conference of the Chinese Linguistic Society</i>. Guangzhou, China.<br></br>
    
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      <h4><b>Poster Presentations</b></h4>
	    Yichi Zhang, <b>Xufeng Duan</b> & Zhenguang Cai. (2024). The causal role of left inferior frontal gyri in Chinese character handwriting: A transcranial magnetic stimulation study. <i>The annual meeting of Society for the Neurobiology of Language (SNL) </i>. Brisbane, Australia.<br></br>
	    Zhuang Qiu, <b>Xufeng Duan</b> & Zhenguang Cai. (2024). Do Large Language Models Resemble Humans in Grammaticality Judgement? <i> Human sentence processing 2024 </i>. University of Michigan, USA. <br></br>
	    <b>Xufeng Duan</b>, Zhenguang Cai & Bo Yao. (2023). Electrophysiological responses associated with character amnesia in Chinese handwriting. <i> Architectures and Mechanisms for Language Processing (AMLaP)</i>. Donostia-San Sebastián, Spain.<br></br>
	    Hanlin Wu, <b>Xufeng Duan</b> & Zhenguang Cai. (2023). Belief of Speakers’ Linguistic Competence Modulates the N400 Effect Elicited by Inconsistent Lexical Use. <i> Architectures and Mechanisms for Language Processing (AMLaP)</i>. Donostia-San Sebastián, Spain.<br></br>
	    Zhuang Qiu, <b>Xufeng Duan</b>, Zhenguang Cai & Nan Zhao. (2023). Pragmatic Implicature Processing in ChatGPT. <i> Architectures and Mechanisms for Language Processing (AMLaP)</i>. Donostia-San Sebastián, Spain.<br></br>
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      <h4><b>Research Projects</b></h4>
	    <h5> Large language models for language research</h3>
	    - LLMs and Brain Alignment<br></br>
	    - Humanlikeness<br></br>
	    - LLMs' Interpretability <br></br>
	    
	    <h5> Orthographic Processing in Chinese Handwriting</h3>
	    - Character amneisa: Behavior/EEG/fMRI study<br></br>
	    - Timecourse of Chinese handwriting: EEG study<br></br>
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      <h4><b>Awards and Scholarships</b></h4>
	    The Chinese university of Hong Kong Ph.D. Studentship <b>around 880,000 HKD</b>
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      <h4><b>Research Funding</b></h4>
	   Key Laboratory Open Fund for student(2019), <b>30,000 RMB</b> <i> Multimodal(EEG/fNIRs/Eyetrakcing) Corpus for Special Population</i>. Sun Yat-sen University.      
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      <h4><b>Training/Intership</b></h4>
	  <i>TMS training</i> APAC TMS clinic Workshop, University of Numnich & MagMore Company May.2023 <br></br>
	  <i>Language therapist</i> The Third Affiliated Hospital of Sun Yat-sen University Jul.2017-Jul.2019 <br></br>
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  <div>Last updated 09/03/2023</div>

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