[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-86340-en":3,"doc-seo-86340-105":29,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},86340,7971461741311,"Ophelia","https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826",8,"Research & Report","Metacognition in LLMs Foundations Progress and Opportunities","Metacognition is a core ingredient of intelligence that supports effective learning, problem solving, decision-making, communication, and more. While metacognition is increasingly viewed as essential for capable and transparent AI, it remains unclear when and how large language models can exhibit or be equipped with useful metacognitive abilities. This paper provides a first comprehensive overview of knowledge on LLM metacognition, including frameworks, benchmarks, elicitation and improvement techniques, and implications for future research and reliability.","arXiv :2607 . 1 188 1v 1 [ cs .CL] 13 Jul 2026  \nMetacognition in LLMs: Foundations, Progress, and Opportunities  \nGabrielle Kaili-May Liu1 Areeb Gani1 ∗ Jacqueline Lu1 ∗ Jordan Thomas1 ∗  \nMark Steyvers2 Arman Cohan1  \n1Yale University 2University of California, Irvine  \n{kaili.liu, [arman.cohan}@yale.edu](arman.cohan}@yale.edu)  \nAbstract  \nMetacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-making, communication, and more. In recent years, it has become increasingly recognized as a cornerstone of capable, transparent AI systems. Yet while LLMs have made significant progress across diverse real-world tasks, it is not yet clear when, how, or to what extent they can exhibit or be endowed with effective metacognitive abilities, nor how such abilities can be adapted to advance the fundamental capabilities, reliability, and intelligence of AI systems. This paper bridges this gap by presenting the first comprehensive overview of the current state of knowledge on metacognition for LLMs. We analyze and taxonomize the landscape of this emerging field and summarize recent technical advancements, including methods and benchmarks to measure and evaluate LLMs’ metacognitive abilities, techniques to elicit, improve, and apply metacognition in LLMs, and findings and implications of ongoing research. We also discuss applications, open questions and challenges, and promising directions for future work. Our aim is to provide a detailed and up-to-date review of this topic and stimulate meaningful research and discussion. An organized list of papers can be found at [https://github.com/yale-nlp/LLM-Metacognition](https://github.com/yale-nlp/LLM-Metacognition).  \nFigure 1: Taxonomy of current research on metacognition in LLMs. Metacognition describes the capacity for a system to assess and regulate its own cognition. The metacognitive loop consists of two interacting processes: monitoring (e.g., forming judgments of uncertainty, task performance, or progress) and control (e.g., planning, strategy selection, or effort re-allocation based on monitoring) .  \n*These authors contributed equally to this work.  \nContents  \n1 Introduction 4  \n2 What is Metacognition? 4  \nMetacognition in Humans ............................. 5  \nMetacognition in LLMs .............................. 5  \n3 Why is Metacognition in LLMs Important? 6  \nTask Performance and Learning .......................... 6  \nReliability and Trustworthiness .......................... 6  \nHuman-AI Collaboration ............................. 6  \nHallucination Reduction .............................. 6  \nInterpretability ................................... 7  \n4 Do LLMs Have Metacognition? 7  \n4.1 Measuring Metacognition in LLMs ......................... 7  \nPsychologically-Grounded Measures ....................... 7  \nNeurofeedback-Based Measures .......................... 8  \nConfidence-Based Measures ............................ 8  \nInterpretability-Based Measures .......................... 8  \nTask-Specific Measures .............................. 8  \nBenchmarks for LLM Metacognition ....................... 9  \nGaps in Metacognitive Evaluation ......................... 9  \n4.2 Current Findings on Metacognition in LLMs .................... 9  \nMetacognitive Sensitivity and Calibration ..................... 9  \nMetamemory .................................... 10  \nFaithful Communication of Uncertainty and Decisions .............. 10  \nSelf-Prediction of Task Performance and Difficulty ................. 11  \nResource Allocation and Tool Use ......................... 11  \nAwareness of Knowledge Limitations ........................ 11  \nIntrospection: Monitoring and Reporting Internal States .............. 11  \nBehavioral Self-Awareness ............................ 12  \nReasoning ..................................... 12  \nTask-Specific Findings ............................... 12  \nImpact of Model Size, Family, and Performance ........","cbCaitY52Yg4Nerc","https://ap.wps.com/l/cbCaitY52Yg4Nerc","pdf",1153129,1,47,"English","en",105,"# Introduction\n# What is Metacognition?\n# Why is Metacognition in LLMs Important?\n# Do LLMs Have Metacognition?\n# Giving LLMs Metacognitive Abilities\n# Metacognitive Methods to Improve Capabilities of LLMs","[{\"question\":\"What does metacognition mean in the context of LLMs?\",\"answer\":\"Metacognition refers to a system’s capacity to assess and regulate its own cognition. It is described through an interacting loop of monitoring (e.g., judging uncertainty or progress) and control (e.g., planning or reallocating effort based on monitoring).\"},{\"question\":\"Why is metacognition important for LLMs?\",\"answer\":\"The document links metacognition to improved task performance and learning, greater reliability and trustworthiness, better human-AI collaboration, reduced hallucinations, and improved interpretability.\"},{\"question\":\"How can metacognitive abilities in LLMs be measured and evaluated?\",\"answer\":\"The paper outlines multiple measurement approaches, including confidence-based, interpretability-based, task-specific, and psychologically grounded or neurofeedback-based measures. It also discusses benchmarks and gaps in current metacognitive evaluation.\"}]",1784210562,118,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":27},"metacognition-in-llms-foundations-progress-and-opportunities","",{"@graph":35,"@context":85},[36,53,68],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/metacognition-in-llms-foundations-progress-and-opportunities/86340/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-23","2026-07-16",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What does metacognition mean in the context of LLMs?","Question",{"text":75,"@type":76},"Metacognition refers to a system’s capacity to assess and regulate its own cognition. It is described through an interacting loop of monitoring (e.g., judging uncertainty or progress) and control (e.g., planning or reallocating effort based on monitoring).","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Why is metacognition important for LLMs?",{"text":80,"@type":76},"The document links metacognition to improved task performance and learning, greater reliability and trustworthiness, better human-AI collaboration, reduced hallucinations, and improved interpretability.",{"name":82,"@type":73,"acceptedAnswer":83},"How can metacognitive abilities in LLMs be measured and evaluated?",{"text":84,"@type":76},"The paper outlines multiple measurement approaches, including confidence-based, interpretability-based, task-specific, and psychologically grounded or neurofeedback-based measures. It also discusses benchmarks and gaps in current metacognitive evaluation.","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":45,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":46,"doc_module":4,"doc_module_name":45,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":45,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":45,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":45,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":45,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":45,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":45,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":45,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":45,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":45,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]