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{
    "pk": 50105,
    "title": "M2TQA:A Metacognitive Framework for Multi-Table Question Answering",
    "subtitle": null,
    "abstract": "A Metacognitive Framework for Multi-Table Question Answering\nProcessing structured data is critical in finance, healthcare, and science. While single-table question answering has advanced, multi-table QA remains challenging due to schema understanding, cross-table reasoning, and complex natural language queries. We propose M2TQA , a novel framework inspired by human cognitive and metacognitive mechanisms. M2TQA integrates metadata extraction, query decomposition, and a metacognitive module to enable interpretable, robust solutions for MTQA. It dynamically simulates human-like reasoning through feedback loops, bridging gaps between natural language understanding and structured data processing. Experiments on four benchmarks show M2TQA outperforms baselines by 94.54% and 33.24% in F1 scores. This work advances MTQA and highlights metacognition's role in AI, fostering interdisciplinary connections between cognitive science and artificial intelligence.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Cognitive Neuroscience; Cognitive architectures; Problem Solving; Agent-based Modeling"
        }
    ],
    "section": "Abstracts with Poster Presentation (accepted as Abstracts)",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/3gg5v1zh",
    "frozenauthors": [
        {
            "first_name": "Jinlong",
            "middle_name": "",
            "last_name": "Tian",
            "name_suffix": "",
            "institution": "National University of Defense Technology",
            "department": ""
        },
        {
            "first_name": "Yuhua",
            "middle_name": "",
            "last_name": "Tang",
            "name_suffix": "",
            "institution": "National University of Defense Technology",
            "department": ""
        },
        {
            "first_name": "Kejia",
            "middle_name": "",
            "last_name": "Wan",
            "name_suffix": "",
            "institution": "National University of Defense Technology",
            "department": ""
        },
        {
            "first_name": "Hao",
            "middle_name": "",
            "last_name": "Tang",
            "name_suffix": "",
            "institution": "National University of Defense Technology",
            "department": ""
        },
        {
            "first_name": "Qiyuan",
            "middle_name": "",
            "last_name": "Zhang",
            "name_suffix": "",
            "institution": "National University of Defense Technology",
            "department": ""
        },
        {
            "first_name": "Yanfang",
            "middle_name": "",
            "last_name": "Zhou",
            "name_suffix": "",
            "institution": "Academy of Military Sciences",
            "department": ""
        },
        {
            "first_name": "Mengmeng",
            "middle_name": "",
            "last_name": "Li",
            "name_suffix": "",
            "institution": "Academy of Military Sciences",
            "department": ""
        },
        {
            "first_name": "Xianglong",
            "middle_name": "",
            "last_name": "Li",
            "name_suffix": "",
            "institution": "Academy of Military Sciences",
            "department": ""
        },
        {
            "first_name": "Xinhai",
            "middle_name": "",
            "last_name": "Xu",
            "name_suffix": "",
            "institution": "Academy of Military Sciences",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2025-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/50105/galley/38067/download/"
        }
    ]
}