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{
    "pk": 50163,
    "title": "Cognitive Distillation with Parameter-Efficient LLMs: Chain-of-Thought Calibration for Personality Prediction",
    "subtitle": null,
    "abstract": "Large language models (LLMs) excel at personality prediction but are often impractical for deployment due to high computational demands. This work introduces cognitive distillation with Chain-of-Thought calibration, a novel framework for transferring structured reasoning from large LLMs to smaller, efficient models. Inspired by cognitive architectures like ACT-R, our method aligns intermediate inference steps using exemplars from single or multiple LLMs. A 1.5B-parameter model distilled through this process surpasses Qwen1.5-110B in predictive accuracy, achieving a 28% improvement in Pearson correlation while using just 1.36% of its parameters. Ablation studies reveal that moderate sampling diversity and multi-model ensembles enhance cognitive skill transfer and construct validity. These findings demonstrate that high-level reasoning can be efficiently and faithfully transferred, enabling psychometrically robust personality assessment in resource-constrained settings. This approach bridges AI and cognitive science, offering a scalable path toward plausible, cognitively grounded language models.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Psychology; Natural Language Processing"
        }
    ],
    "section": "Abstracts with Poster Presentation (accepted as Abstracts)",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6jz3j9d5",
    "frozenauthors": [
        {
            "first_name": "Yang",
            "middle_name": "",
            "last_name": "Yan",
            "name_suffix": "",
            "institution": "Zhejiang University – Westlake University Joint PhD Program",
            "department": ""
        },
        {
            "first_name": "Lizhi",
            "middle_name": "",
            "last_name": "Ma",
            "name_suffix": "",
            "institution": "Hangzhou Normal University",
            "department": ""
        },
        {
            "first_name": "Yu",
            "middle_name": "",
            "last_name": "Lu",
            "name_suffix": "",
            "institution": "Engineering School",
            "department": ""
        },
        {
            "first_name": "Renjun",
            "middle_name": "",
            "last_name": "Xu",
            "name_suffix": "",
            "institution": "Zhejiang University",
            "department": ""
        },
        {
            "first_name": "Zhenzhong",
            "middle_name": "",
            "last_name": "Lan",
            "name_suffix": "",
            "institution": "Engineering School",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2025-01-01T11:00:00-07:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/50163/galley/38125/download/"
        }
    ]
}