[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-59799e1172994d81-guideskill-evolving-executable-agent-skills-for-cl-summary":3,"summaries-facets-categories":107,"summary-related-59799e1172994d81-guideskill-evolving-executable-agent-skills-for-cl-summary":6795},{"id":4,"title":5,"ai":6,"body":13,"categories":72,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":77,"navigation":90,"path":91,"published_at":92,"question":74,"scraped_at":92,"seo":93,"sitemap":94,"source_id":95,"source_name":96,"source_type":97,"source_url":83,"stem":98,"tags":99,"thumbnail_url":74,"tldr":104,"tweet":74,"unknown_tags":105,"__hash__":106},"summaries\u002Fsummaries\u002F59799e1172994d81-guideskill-evolving-executable-agent-skills-for-cl-summary.md","GuideSkill: Evolving Executable Agent Skills for Clinical Reasoning",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4028,522,2546,0.00179,{"type":14,"value":15,"toc":65},"minimark",[16,21,25,29,32,35,58,62],[17,18,20],"h2",{"id":19},"bridging-the-gap-between-llms-and-clinical-guidelines","Bridging the Gap Between LLMs and Clinical Guidelines",[22,23,24],"p",{},"Clinical reasoning requires strict adherence to evidence-based guidelines, a task where standard LLMs often struggle due to their reliance on probabilistic generation rather than deterministic logic. GuideSkill addresses this by shifting the paradigm from simple prompt-based reasoning to the evolution of executable agent skills. By treating clinical guidelines as structured, executable code rather than static text, the system ensures that agent actions are grounded in verifiable medical protocols.",[17,26,28],{"id":27},"the-evolution-of-executable-skills","The Evolution of Executable Skills",[22,30,31],{},"Instead of relying on zero-shot or few-shot prompting, GuideSkill employs an evolutionary approach to refine agent capabilities. The system generates, tests, and iterates on specialized skills—small, modular code snippets or logic blocks—that perform specific clinical tasks (e.g., calculating risk scores, checking contraindications, or verifying diagnostic criteria).",[22,33,34],{},"Key components of this process include:",[36,37,38,46,52],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Skill Synthesis:"," Automatically deriving executable logic from unstructured or semi-structured medical guideline documents.",[39,47,48,51],{},[42,49,50],{},"Evolutionary Optimization:"," Using feedback loops to prune ineffective skills and promote those that demonstrate higher accuracy and compliance with clinical standards.",[39,53,54,57],{},[42,55,56],{},"Execution Environment:"," A sandbox where the LLM agent invokes these evolved skills, ensuring that the reasoning path remains within the bounds of the guideline.",[17,59,61],{"id":60},"improving-reliability-and-interpretability","Improving Reliability and Interpretability",[22,63,64],{},"By grounding the agent in executable skills, the framework significantly reduces the risk of 'hallucinated' clinical advice. Because the agent must call a verified skill to perform a calculation or logical check, the reasoning process becomes transparent and auditable. This modularity allows developers to update individual skills as medical guidelines evolve without needing to retrain the underlying LLM, providing a practical path toward deploying AI in high-stakes clinical environments.",{"title":66,"searchDepth":67,"depth":67,"links":68},"",2,[69,70,71],{"id":19,"depth":67,"text":20},{"id":27,"depth":67,"text":28},{"id":60,"depth":67,"text":61},[73],"AI & LLMs",null,"md",false,{"content_references":78,"triage":85},[79],{"type":80,"title":81,"author":82,"url":83,"context":84},"paper","GuideSkill: Evolving Executable LLM Agent Skills for Guideline-Grounded Clinical Reasoning","Not specified","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.26160","cited",{"relevance":86,"novelty":87,"quality":87,"actionability":86,"composite":88,"reasoning":89},3,4,3.45,"Category: AI & LLMs. The article discusses a novel approach to enhancing clinical reasoning in AI by evolving executable agent skills, which is relevant to AI engineering and LLMs. It presents new insights into how to ground LLM decision-making in formal medical guidelines, but lacks specific actionable steps for implementation.",true,"\u002Fsummaries\u002F59799e1172994d81-guideskill-evolving-executable-agent-skills-for-cl-summary","2026-08-01 03:13:02",{"title":5,"description":66},{"loc":91},"59799e1172994d81","arXiv cs.AI","article","summaries\u002F59799e1172994d81-guideskill-evolving-executable-agent-skills-for-cl-summary",[100,101,102,103],"llm","agents","machine-learning","research","GuideSkill improves clinical reasoning by evolving executable agent skills that ground LLM decision-making in formal medical guidelines, reducing hallucinations and improving adherence to 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and Optimizing LLM-Based Social Simulations",{"provider":7,"model":8,"input_tokens":6800,"output_tokens":6801,"processing_time_ms":6802,"cost_usd":6803},4017,534,2837,0.00180525,{"type":14,"value":6805,"toc":6848},[6806,6810,6813,6817,6820,6841,6845],[17,6807,6809],{"id":6808},"the-challenge-of-evaluating-social-simulations","The Challenge of Evaluating Social Simulations",[22,6811,6812],{},"LLM-based social simulations—where autonomous agents interact in complex environments—are increasingly used to model human behavior. However, the field suffers from a lack of standardized evaluation metrics. Current approaches often rely on qualitative observation or anecdotal evidence, which fail to capture the nuances of agent consistency, social dynamics, and long-term behavioral stability. The authors argue that without a quantitative framework, it is impossible to distinguish between emergent social phenomena and artifacts of the underlying LLM's training data or prompt structure.",[17,6814,6816],{"id":6815},"a-framework-for-optimization-and-benchmarking","A Framework for Optimization and Benchmarking",[22,6818,6819],{},"The paper introduces a systematic methodology for evaluating these simulations, focusing on three core pillars:",[6821,6822,6823,6829,6835],"ol",{},[39,6824,6825,6828],{},[42,6826,6827],{},"Behavioral Consistency:"," Measuring how agents maintain persona and decision-making logic across diverse social scenarios. This involves testing for 'role-drift' where agents lose their defined characteristics over time.",[39,6830,6831,6834],{},[42,6832,6833],{},"Social Fidelity:"," Benchmarking simulated interactions against known sociological data or historical patterns. This ensures that the emergent dynamics—such as group formation, conflict, or cooperation—align with theoretical expectations rather than just mimicking generic conversational patterns.",[39,6836,6837,6840],{},[42,6838,6839],{},"Optimization Pipelines:"," The authors propose an iterative optimization loop. By treating the simulation environment as a differentiable or feedback-driven system, developers can tune agent prompts and memory retrieval mechanisms to minimize divergence from target social outcomes.",[17,6842,6844],{"id":6843},"moving-beyond-anecdotal-validation","Moving Beyond Anecdotal Validation",[22,6846,6847],{},"The core argument is that social simulations must be treated as scientific instruments rather than just creative demos. By implementing rigorous stress-testing—such as introducing 'social shocks' (e.g., resource scarcity or sudden environmental changes)—researchers can better understand the robustness of agent architectures. The authors emphasize that optimization should not just focus on individual agent performance, but on the stability of the entire system's equilibrium. This shift from 'agent-centric' to 'system-centric' evaluation is essential for scaling these simulations to predict real-world social outcomes.",{"title":66,"searchDepth":67,"depth":67,"links":6849},[6850,6851,6852],{"id":6808,"depth":67,"text":6809},{"id":6815,"depth":67,"text":6816},{"id":6843,"depth":67,"text":6844},[73],{"content_references":6855,"triage":6860},[6856],{"type":80,"title":6857,"author":6858,"url":6859,"context":84},"Rethinking the Evaluation and Optimization of LLM-Based Social Simulation","arXiv:2608.19689","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.19689",{"relevance":86,"novelty":87,"quality":87,"actionability":67,"composite":6861,"reasoning":6862},3.25,"Category: AI & LLMs. The article discusses a systematic approach to evaluating LLM-based social simulations, which is relevant to AI engineering. However, while it presents a novel framework, it lacks direct actionable steps for product builders looking to implement these ideas in a practical context.","\u002Fsummaries\u002F024ead91933bf426-evaluating-and-optimizing-llm-based-social-simulat-summary","2026-08-22 03:10:22",{"title":6798,"description":66},{"loc":6863},"024ead91933bf426","summaries\u002F024ead91933bf426-evaluating-and-optimizing-llm-based-social-simulat-summary",[100,101,102,103],"Current LLM-based social simulations lack rigorous evaluation frameworks; this paper proposes a systematic approach to benchmarking agent behavior and optimizing simulation fidelity.",[],"mQ-9GbvK-EfuFeeVFAjjvL0jLIkICqE2CN26-tUHewY",{"id":6874,"title":6875,"ai":6876,"body":6881,"categories":6909,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6910,"navigation":90,"path":6919,"published_at":6920,"question":74,"scraped_at":6920,"seo":6921,"sitemap":6922,"source_id":6923,"source_name":96,"source_type":97,"source_url":6914,"stem":6924,"tags":6925,"thumbnail_url":74,"tldr":6926,"tweet":74,"unknown_tags":6927,"__hash__":6928},"summaries\u002Fsummaries\u002F7f2057cfb4905870-optimizing-multi-turn-ai-agents-with-planpo-summary.md","Optimizing Multi-Turn AI Agents with PlanPO",{"provider":7,"model":8,"input_tokens":6877,"output_tokens":6878,"processing_time_ms":6879,"cost_usd":6880},4024,475,2509,0.0017185,{"type":14,"value":6882,"toc":6904},[6883,6887,6890,6894,6897,6901],[17,6884,6886],{"id":6885},"the-challenge-of-myopic-agent-behavior","The Challenge of Myopic Agent Behavior",[22,6888,6889],{},"Standard reinforcement learning for LLM agents often struggles with multi-turn tasks because models tend to optimize for immediate rewards rather than long-term goal completion. This \"myopia\" leads to agents that may perform well on individual steps but fail to maintain a coherent strategy across complex, multi-step workflows. PlanPO (Group Planning-Aware Policy Optimization) addresses this by shifting the focus from individual action optimization to group-level planning awareness.",[17,6891,6893],{"id":6892},"integrating-planning-into-policy-optimization","Integrating Planning into Policy Optimization",[22,6895,6896],{},"PlanPO introduces a framework where the agent's policy is explicitly conditioned on a planning objective. Instead of treating each turn as an isolated decision, the model evaluates potential trajectories by considering the global plan. By grouping similar task trajectories, the algorithm allows the model to learn from the collective success or failure of a plan, rather than just the isolated outcome of a single action. This approach effectively bridges the gap between high-level strategic planning and low-level execution, forcing the model to reconcile its immediate outputs with the broader requirements of the task.",[17,6898,6900],{"id":6899},"performance-and-strategic-alignment","Performance and Strategic Alignment",[22,6902,6903],{},"By incorporating planning awareness, PlanPO reduces the frequency of \"hallucinated\" or redundant steps that often plague multi-turn agents. The research demonstrates that agents trained with this method show higher success rates in complex environments where state changes are cumulative. The core insight is that by optimizing the policy to be \"planning-aware,\" the model develops a more robust internal representation of task progression, leading to more reliable performance in long-horizon reasoning tasks.",{"title":66,"searchDepth":67,"depth":67,"links":6905},[6906,6907,6908],{"id":6885,"depth":67,"text":6886},{"id":6892,"depth":67,"text":6893},{"id":6899,"depth":67,"text":6900},[73],{"content_references":6911,"triage":6915},[6912],{"type":80,"title":6913,"url":6914,"context":84},"PlanPO: Group Planning-Aware Policy Optimization for Multi-Turn Agentic LLMs","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.17289",{"relevance":6916,"novelty":87,"quality":87,"actionability":86,"composite":6917,"reasoning":6918},5,4.15,"Category: AI & LLMs. The article discusses a novel approach to improving multi-turn AI agents, addressing a specific pain point of myopic behavior in LLMs, which is highly relevant for developers building AI-powered products. It presents a new framework (PlanPO) that could be actionable for those looking to enhance agent performance, though it lacks detailed implementation steps.","\u002Fsummaries\u002F7f2057cfb4905870-optimizing-multi-turn-ai-agents-with-planpo-summary","2026-08-20 03:12:42",{"title":6875,"description":66},{"loc":6919},"7f2057cfb4905870","summaries\u002F7f2057cfb4905870-optimizing-multi-turn-ai-agents-with-planpo-summary",[100,101,102,103],"PlanPO improves multi-turn agent performance by integrating group-based planning awareness into policy optimization, ensuring models learn to prioritize long-term task success over immediate, short-sighted actions.",[],"wtP7rzZMClBQYi0Q7pFsaSQbpdPWUT7C-uzyZ7RvpGU",{"id":6930,"title":6931,"ai":6932,"body":6937,"categories":6985,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":6986,"navigation":90,"path":6994,"published_at":6995,"question":74,"scraped_at":6995,"seo":6996,"sitemap":6997,"source_id":6998,"source_name":96,"source_type":97,"source_url":6990,"stem":6999,"tags":7000,"thumbnail_url":74,"tldr":7001,"tweet":74,"unknown_tags":7002,"__hash__":7003},"summaries\u002Fsummaries\u002Fc57f745b0ff49255-skill-improving-llm-logic-via-knowledge-guided-sel-summary.md","SKILL: Improving LLM Logic via Knowledge-Guided Self-Correction",{"provider":7,"model":8,"input_tokens":6933,"output_tokens":6934,"processing_time_ms":6935,"cost_usd":6936},4022,540,2622,0.0018155,{"type":14,"value":6938,"toc":6980},[6939,6943,6946,6950,6953,6973,6977],[17,6940,6942],{"id":6941},"the-logic-optimization-challenge","The Logic Optimization Challenge",[22,6944,6945],{},"Large Language Models (LLMs) often struggle with complex logic optimization tasks due to their tendency to hallucinate or follow flawed reasoning paths. The SKILL (Self-correcting Knowledge-guided Iterative Large Language Model) agent addresses these limitations by moving away from single-pass inference toward a structured, iterative loop that integrates external domain knowledge.",[17,6947,6949],{"id":6948},"the-skill-framework-architecture","The SKILL Framework Architecture",[22,6951,6952],{},"SKILL operates through a cyclical process designed to refine outputs before final delivery. The framework consists of three primary components:",[6821,6954,6955,6961,6967],{},[39,6956,6957,6960],{},[42,6958,6959],{},"Knowledge-Guided Retrieval",": Instead of relying solely on internal model weights, the agent queries external knowledge bases to ground its reasoning in verified facts or domain-specific logic rules. This reduces the reliance on the model's probabilistic memory, which is prone to error in highly technical domains.",[39,6962,6963,6966],{},[42,6964,6965],{},"Iterative Reasoning Loop",": The agent generates a candidate solution and then subjects it to a verification process. If the solution fails to meet predefined logic constraints, the agent does not simply retry; it analyzes the failure point.",[39,6968,6969,6972],{},[42,6970,6971],{},"Self-Correction Mechanism",": By identifying specific logical inconsistencies, the agent generates a critique of its previous output. This critique, combined with the retrieved knowledge, informs the next iteration. This feedback loop allows the model to systematically prune incorrect reasoning paths and converge on a valid solution.",[17,6974,6976],{"id":6975},"impact-on-performance","Impact on Performance",[22,6978,6979],{},"By decoupling the generation phase from the verification and correction phases, SKILL demonstrates significant improvements in tasks requiring strict adherence to logical constraints. The framework effectively mitigates the 'black box' nature of LLMs by forcing the model to justify its steps against external knowledge, making the resulting logic more robust and verifiable for complex optimization problems.",{"title":66,"searchDepth":67,"depth":67,"links":6981},[6982,6983,6984],{"id":6941,"depth":67,"text":6942},{"id":6948,"depth":67,"text":6949},{"id":6975,"depth":67,"text":6976},[73],{"content_references":6987,"triage":6991},[6988],{"type":80,"title":6989,"url":6990,"context":84},"SKILL: Self-correcting Knowledge-guided Iterative Large Language Model Agent for Logic Optimization","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.14579",{"relevance":87,"novelty":87,"quality":87,"actionability":86,"composite":6992,"reasoning":6993},3.8,"Category: AI & LLMs. The article discusses a novel framework (SKILL) that enhances LLM reasoning, addressing a specific pain point of hallucinations in AI outputs. While it provides insights into the framework's architecture and its iterative process, it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Fc57f745b0ff49255-skill-improving-llm-logic-via-knowledge-guided-sel-summary","2026-08-19 03:12:26",{"title":6931,"description":66},{"loc":6994},"c57f745b0ff49255","summaries\u002Fc57f745b0ff49255-skill-improving-llm-logic-via-knowledge-guided-sel-summary",[100,101,102,103],"SKILL is an iterative agent framework that enhances LLM reasoning in logic optimization tasks by combining external knowledge retrieval with a self-correction mechanism to reduce hallucinations and improve accuracy.",[],"zeqcnvSFxOqH-Z2EeQwtTObU2tNJLY2eYNbnUEnBYb0",{"id":7005,"title":7006,"ai":7007,"body":7012,"categories":7063,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":7064,"navigation":90,"path":7068,"published_at":7069,"question":74,"scraped_at":7069,"seo":7070,"sitemap":7071,"source_id":7072,"source_name":96,"source_type":97,"source_url":7073,"stem":7074,"tags":7075,"thumbnail_url":74,"tldr":7076,"tweet":74,"unknown_tags":7077,"__hash__":7078},"summaries\u002Fsummaries\u002F2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary.md","Reducing Over-Crediting in LLM Agent Evaluation",{"provider":7,"model":8,"input_tokens":7008,"output_tokens":7009,"processing_time_ms":7010,"cost_usd":7011},4020,603,2724,0.0019095,{"type":14,"value":7013,"toc":7058},[7014,7018,7021,7025,7028,7031,7051,7055],[17,7015,7017],{"id":7016},"the-problem-over-crediting-in-llm-as-a-judge","The Problem: Over-Crediting in LLM-as-a-Judge",[22,7019,7020],{},"LLM-based evaluation (LLM-as-a-judge) has become the standard for assessing agentic workflows, but it is prone to significant bias. A primary issue is 'over-crediting,' where judge models tend to assign high scores to agent outputs that appear fluent or confident, even when they fail to meet specific task requirements or contain subtle errors. This behavior stems from the judge's tendency to prioritize stylistic coherence over functional correctness, leading to inflated performance metrics that do not reflect real-world utility.",[17,7022,7024],{"id":7023},"inducing-reward-free-rubrics-for-objective-assessment","Inducing Reward-Free Rubrics for Objective Assessment",[22,7026,7027],{},"To mitigate this bias, the authors propose a method for inducing reward-free judging rubrics. Instead of relying on a single scalar reward signal—which often conflates multiple dimensions of performance—this approach forces the judge to decompose the evaluation into specific, observable criteria.",[22,7029,7030],{},"By inducing these rubrics, the system shifts the evaluation paradigm from holistic 'gut-feeling' scoring to a structured, evidence-based assessment. The key mechanism involves:",[36,7032,7033,7039,7045],{},[39,7034,7035,7038],{},[42,7036,7037],{},"Decomposition:"," Breaking down complex agent tasks into discrete, verifiable sub-tasks or constraints.",[39,7040,7041,7044],{},[42,7042,7043],{},"Reward-Free Scoring:"," Eliminating the reliance on a singular reward score, which often encourages the judge to 'guess' what the user wants to hear, and instead requiring the judge to justify its assessment against the induced rubric.",[39,7046,7047,7050],{},[42,7048,7049],{},"Constraint-Based Verification:"," The rubric acts as a set of guardrails, forcing the judge to explicitly check for the presence or absence of specific functional elements in the agent's output.",[17,7052,7054],{"id":7053},"impact-on-evaluation-accuracy","Impact on Evaluation Accuracy",[22,7056,7057],{},"This approach significantly reduces the 'halo effect' where a well-written but incorrect response receives high marks. By forcing the judge to adhere to an induced rubric, the evaluation becomes more granular and reproducible. The research demonstrates that this method provides a more accurate reflection of agent capabilities, as it forces the judge to penalize failures in logic or constraint satisfaction that would otherwise be masked by the agent's persuasive tone. This leads to a more reliable feedback loop for developers, allowing for better identification of specific failure modes in agentic systems.",{"title":66,"searchDepth":67,"depth":67,"links":7059},[7060,7061,7062],{"id":7016,"depth":67,"text":7017},{"id":7023,"depth":67,"text":7024},{"id":7053,"depth":67,"text":7054},[73],{"content_references":7065,"triage":7066},[],{"relevance":87,"novelty":87,"quality":87,"actionability":86,"composite":6992,"reasoning":7067},"Category: AI & LLMs. The article addresses a specific pain point in LLM evaluation methods by proposing a structured approach to reduce bias in performance assessments, which is highly relevant for developers integrating AI into their products. It presents a novel method for improving evaluation accuracy, although it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary","2026-08-18 03:10:21",{"title":7006,"description":66},{"loc":7068},"2a126068ed5ab49f","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13564","summaries\u002F2a126068ed5ab49f-reducing-over-crediting-in-llm-agent-evaluation-summary",[100,101,103,102],"Current LLM-based evaluation methods often suffer from 'over-crediting,' where judges inflate scores for mediocre agent performance. This research proposes inducing reward-free rubrics to provide more objective, granular, and accurate performance assessments.",[],"_hbmkEDPRICuyq586Kc3IsT819er32N4vUCtsXHG9Jk"]