[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-a25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary":3,"summaries-facets-categories":103,"summary-related-a25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary":5989},{"id":4,"title":5,"ai":6,"body":13,"categories":69,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":74,"navigation":87,"path":88,"published_at":89,"question":71,"scraped_at":89,"seo":90,"sitemap":91,"source_id":92,"source_name":93,"source_type":94,"source_url":79,"stem":95,"tags":96,"thumbnail_url":71,"tldr":100,"tweet":71,"unknown_tags":101,"__hash__":102},"summaries\u002Fsummaries\u002Fa25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary.md","Schema-Aware Localisation (SAL) for NL2SQL Reliability",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4059,570,3511,0.00186975,{"type":14,"value":15,"toc":62},"minimark",[16,21,25,29,32,55,59],[17,18,20],"h2",{"id":19},"the-problem-hallucinations-in-nl2sql","The Problem: Hallucinations in NL2SQL",[22,23,24],"p",{},"Natural Language to SQL (NL2SQL) systems often struggle with accuracy when mapping user intent to complex database schemas. The primary failure modes include referencing non-existent tables or columns (hallucination) and misinterpreting schema relationships. Standard prompt engineering often fails to enforce strict adherence to the underlying database structure, leading to broken queries that fail at execution time.",[17,26,28],{"id":27},"the-sal-approach-live-schema-grounding","The SAL Approach: Live Schema Grounding",[22,30,31],{},"Schema-Aware Localisation (SAL) introduces a framework for real-time validation of SQL generation. Instead of relying solely on the LLM's internal knowledge of the schema, SAL forces the model to perform a 'grounding' step. This process involves:",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Live Schema Mapping:"," The system dynamically injects relevant schema metadata into the context window, ensuring the model only references valid entities.",[36,44,45,48],{},[39,46,47],{},"Hallucination Validation:"," SAL implements a secondary validation layer that checks the generated SQL against the actual database schema before execution. If the model attempts to query a column that does not exist or uses an incorrect join path, the system flags the error.",[36,50,51,54],{},[39,52,53],{},"Iterative Correction:"," By identifying these schema-level mismatches, the system can provide targeted feedback to the LLM, allowing it to refine the query based on the specific constraints of the target database.",[17,56,58],{"id":57},"impact-on-system-reliability","Impact on System Reliability",[22,60,61],{},"By moving schema awareness from a static prompt instruction to an active validation loop, SAL significantly reduces the rate of execution errors. This approach is particularly effective for 'Oracle' NL2SQL scenarios, where the system must be highly precise. The framework demonstrates that grounding the model in the actual database environment—rather than relying on semantic similarity alone—is the most effective way to ensure that generated code is both syntactically correct and logically sound according to the database's specific architecture.",{"title":63,"searchDepth":64,"depth":64,"links":65},"",2,[66,67,68],{"id":19,"depth":64,"text":20},{"id":27,"depth":64,"text":28},{"id":57,"depth":64,"text":58},[70],"AI & LLMs",null,"md",false,{"content_references":75,"triage":81},[76],{"type":77,"title":78,"url":79,"context":80},"paper","Schema-Aware Localisation (SAL): Live Schema Grounding and Hallucination Validation for Oracle NL2SQL","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.22572","cited",{"relevance":82,"novelty":83,"quality":83,"actionability":84,"composite":85,"reasoning":86},5,4,3,4.15,"Category: AI & LLMs. The article presents a novel approach to improving NL2SQL systems by introducing Schema-Aware Localisation (SAL), which addresses the common issue of hallucinations in SQL generation. It provides a detailed explanation of how SAL enhances reliability through real-time schema grounding, making it highly relevant for developers looking to implement AI-powered database interactions.",true,"\u002Fsummaries\u002Fa25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary","2026-07-29 03:12:18",{"title":5,"description":63},{"loc":88},"a25c36d1d24fa284","arXiv cs.AI","article","summaries\u002Fa25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary",[97,98,99],"llm","ai-tools","data-science","Schema-Aware Localisation (SAL) improves NL2SQL accuracy by grounding natural language queries directly against database schemas in real-time, effectively mitigating hallucinations and invalid SQL 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Search Explained: From Brute Force to ANN",{"provider":7,"model":8,"input_tokens":5994,"output_tokens":5995,"processing_time_ms":5996,"cost_usd":5997},4838,590,3656,0.0020945,{"type":14,"value":5999,"toc":6061},[6000,6004,6007,6011,6014,6034,6038,6041],[17,6001,6003],{"id":6002},"the-scaling-problem-brute-force-vs-indexing","The Scaling Problem: Brute Force vs. Indexing",[22,6005,6006],{},"Vector search involves finding the nearest neighbors to a query vector within a massive dataset. A 'brute-force' approach—a linear scan—compares the query against every single item in the database. While this guarantees the most accurate result, it is computationally prohibitive at scale (e.g., millions of vectors). For small datasets (a few thousand vectors), brute force is sufficient, but for production-scale applications, it creates a performance bottleneck.",[17,6008,6010],{"id":6009},"the-aisle-strategy-approximate-nearest-neighbor-ann","The 'Aisle' Strategy: Approximate Nearest Neighbor (ANN)",[22,6012,6013],{},"To achieve speed, systems use Approximate Nearest Neighbor (ANN) search, which mimics a supermarket's organization. Instead of searching the entire store, the system uses an indexing method to create 'aisles' (clusters).",[33,6015,6016,6022,6028],{},[36,6017,6018,6021],{},[39,6019,6020],{},"Clustering",": Similar vectors naturally clump together. The system draws boundaries around these clumps and assigns a 'signpost' (centroid) representing the average position of the items within that cluster.",[36,6023,6024,6027],{},[39,6025,6026],{},"The Two-Step Search",": When a query arrives, the system compares it only against the signposts. It then selects the nearest aisle(s) and performs a scan only within that subset.",[36,6029,6030,6033],{},[39,6031,6032],{},"The Trade-off",": This method is 'approximate' because a relevant item might be miscategorized or missed if the query is directed to the wrong aisle. This trade-off between speed and perfect accuracy is fundamental to high-dimensional search.",[17,6035,6037],{"id":6036},"libraries-vs-databases","Libraries vs. Databases",[22,6039,6040],{},"There is a critical distinction between a search library like FAISS and a full-featured vector database. A library provides the shelving method (e.g., IVF index), but a production-ready database adds the operational infrastructure required for real-world applications:",[33,6042,6043,6049,6055],{},[36,6044,6045,6048],{},[39,6046,6047],{},"Persistence and Updates",": Managing stock while the store is open and ensuring data survives system restarts.",[36,6050,6051,6054],{},[39,6052,6053],{},"Metadata Filtering",": The ability to restrict searches by specific criteria (e.g., 'only this user's documents'). This is technically difficult because filters often conflict with the pre-indexed 'aisles,' requiring complex engineering to maintain performance.",[36,6056,6057,6060],{},[39,6058,6059],{},"Hybrid Search",": Combining vector similarity with traditional keyword or structured data filtering.",{"title":63,"searchDepth":64,"depth":64,"links":6062},[6063,6064,6065],{"id":6002,"depth":64,"text":6003},{"id":6009,"depth":64,"text":6010},{"id":6036,"depth":64,"text":6037},[70],{"content_references":6068,"triage":6074},[6069],{"type":6070,"title":6071,"url":6072,"context":6073},"tool","FAISS","https:\u002F\u002Fgithub.com\u002Ffacebookresearch\u002Ffaiss","mentioned",{"relevance":82,"novelty":84,"quality":83,"actionability":83,"composite":85,"reasoning":6075},"Category: AI & LLMs. The article provides a detailed explanation of vector search techniques, specifically focusing on Approximate Nearest Neighbor (ANN) methods, which are crucial for AI-powered product builders dealing with large datasets. It offers actionable insights into the trade-offs between speed and accuracy in search systems, making it relevant for developers looking to implement efficient search functionalities.","\u002Fsummaries\u002F58aa82efe57a452b-vector-search-explained-from-brute-force-to-ann-summary","2026-06-23 04:50:43","2026-06-23 12:56:47",{"title":5992,"description":63},{"loc":6076},"58aa82efe57a452b","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fvector-search-explained-visually-how-databases-find-a-needle-in-5-million-vectors-bb67825b1a75?source=rss----5517fd7b58a6---4","summaries\u002F58aa82efe57a452b-vector-search-explained-from-brute-force-to-ann-summary",[97,98,99],"Vector search scales by replacing linear scans with 'aisles'—grouping similar vectors into clusters defined by centroids—allowing systems to ignore irrelevant data and return results in milliseconds.",[],"HK3k-5y-hEVvC2ZT8cQOkj4KbzVl2TV_np9iv9o01iE",{"id":6090,"title":6091,"ai":6092,"body":6097,"categories":6157,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":6158,"navigation":87,"path":6172,"published_at":6173,"question":71,"scraped_at":6174,"seo":6175,"sitemap":6176,"source_id":6177,"source_name":6178,"source_type":6179,"source_url":6180,"stem":6181,"tags":6182,"thumbnail_url":6184,"tldr":6185,"tweet":6186,"unknown_tags":6187,"__hash__":6188},"summaries\u002Fsummaries\u002Fc3cbba381f3c04de-the-state-of-data-markets-moving-beyond-contrived--summary.md","The State of Data Markets: Moving Beyond Contrived Benchmarks",{"provider":7,"model":8,"input_tokens":6093,"output_tokens":6094,"processing_time_ms":6095,"cost_usd":6096},7336,835,4742,0.0030865,{"type":14,"value":6098,"toc":6151},[6099,6103,6106,6110,6113,6134,6137,6141,6144,6148],[17,6100,6102],{"id":6101},"the-shift-from-contrived-to-process-based-data","The Shift from Contrived to Process-Based Data",[22,6104,6105],{},"Data is the most critical, yet underfunded, input for AI performance. The industry currently suffers from a reliance on 'Type-2' data—contrived, synthetic examples generated by experts in artificial settings. While this helps models reach basic competence, it fails to drive them toward true expertise. The real opportunity lies in 'Type-1' data: process-based, real-world workflows (e.g., GitHub commits, session replays, or professional decision-making traces) that capture how work actually gets done. Because data is a highly depreciable asset, the only durable supply is found in live business partnerships rather than static, historical codebases.",[17,6107,6109],{"id":6108},"the-verification-bottleneck","The Verification Bottleneck",[22,6111,6112],{},"Model training success is governed by the 'Verifiers Law,' which states that the ease of training a model is proportional to the task's verifiability. Verifiability is defined by three axes:",[6114,6115,6116,6122,6128],"ol",{},[36,6117,6118,6121],{},[39,6119,6120],{},"Asymmetry:"," Can the task be decomposed into checkable steps?",[36,6123,6124,6127],{},[39,6125,6126],{},"Veracity:"," Is there consensus on what 'correct' means?",[36,6129,6130,6133],{},[39,6131,6132],{},"Proliferation:"," How often does the real world provide fresh, verified examples?",[22,6135,6136],{},"Coding succeeded as the first mature AI application because it scored high on all three axes (unit tests, community consensus, and infinite public examples). Current efforts in law, finance, and biology struggle because they score low on these axes, making them reliant on proprietary enterprise data that is difficult to access and verify.",[17,6138,6140],{"id":6139},"the-benchmark-psychosis-and-vendor-misalignment","The 'Benchmark Psychosis' and Vendor Misalignment",[22,6142,6143],{},"There is a systemic issue with how the industry measures progress. Many benchmarks are 'quietly fake'—they are created by the same vendors selling the data used to train models to pass them. This creates a Goodhart’s Law scenario where the metric becomes the target, leading to 'benchmark psychosis.' A single benchmark number is merely a noisy sample from an unmeasured distribution. Builders should instead use 'cross-harness differencing' and rubric-based analysis to understand how models actually perform on long-horizon, non-verifiable tasks, rather than relying on leaderboard scores.",[17,6145,6147],{"id":6146},"building-durable-moats-in-an-unstable-market","Building Durable Moats in an Unstable Market",[22,6149,6150],{},"History shows that infrastructure pioneers rarely maintain long-term market dominance. As foundation models become more commoditized and efficient, the real value for builders is not the model itself, but the pipeline that connects real-world work to the model. Successful data companies are pivoting to become 'Antikythera' mechanisms—infrastructure layers that translate messy business contexts into automated evaluation and reinforcement learning (RL) pipelines. The goal for enterprises is to own their own intelligence, using an abstraction layer that allows them to swap base models (e.g., switching from proprietary to open-source) without needing to rebuild their entire post-training data stack from scratch.",{"title":63,"searchDepth":64,"depth":64,"links":6152},[6153,6154,6155,6156],{"id":6101,"depth":64,"text":6102},{"id":6108,"depth":64,"text":6109},{"id":6139,"depth":64,"text":6140},{"id":6146,"depth":64,"text":6147},[70],{"content_references":6159,"triage":6169},[6160,6164,6167],{"type":6161,"title":6162,"author":6163,"context":6073},"other","GPQA","Google DeepMind",{"type":6161,"title":6165,"author":6166,"context":80},"Verifiers Law","Jason Weey",{"type":6070,"title":6168,"context":6073},"Val's AI",{"relevance":83,"novelty":83,"quality":83,"actionability":84,"composite":6170,"reasoning":6171},3.8,"Category: Data Science & Visualization. The article discusses the importance of transitioning from synthetic to real-world data for AI performance, addressing a key pain point for product builders regarding data quality. It offers insights into the verification bottleneck and the systemic issues with current benchmarking practices, which are relevant for those looking to improve their AI products.","\u002Fsummaries\u002Fc3cbba381f3c04de-the-state-of-data-markets-moving-beyond-contrived-summary","2026-07-26 17:00:06","2026-07-27 03:09:02",{"title":6091,"description":63},{"loc":6172},"c3cbba381f3c04de","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=ZyIoTOAbRfs","summaries\u002Fc3cbba381f3c04de-the-state-of-data-markets-moving-beyond-contrived--summary",[97,98,99,6183],"product-strategy","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FZyIoTOAbRfs\u002Fhqdefault.jpg","Data quality is the primary bottleneck for AI expertise. Success requires moving from 'contrived' type-2 data to 'process-based' type-1 data, while building infrastructure that decouples enterprise workflows from specific foundation models.","This talk is a high-level industry critique of the AI data market, arguing that the industry is currently trapped in a cycle of \"contrived\" (Type 2) data and unreliable benchmarks. The speaker outlines why \"verifiability\" is the primary bottleneck for scaling AI into new domains and why most current data vendors are selling synthetic, low-utility datasets.",[],"t2G1BuflqXvUsWbeK2YGxbZ9XUz-WvuG_jIvWYTuYIA",{"id":6190,"title":6191,"ai":6192,"body":6197,"categories":6225,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":6226,"navigation":87,"path":6231,"published_at":6232,"question":71,"scraped_at":6233,"seo":6234,"sitemap":6235,"source_id":6236,"source_name":6237,"source_type":6179,"source_url":6238,"stem":6239,"tags":6240,"thumbnail_url":6242,"tldr":6243,"tweet":6244,"unknown_tags":6245,"__hash__":6246},"summaries\u002Fsummaries\u002Fb6f8e65aca70cf3f-designing-robust-rag-systems-for-complex-and-contr-summary.md","Designing Robust RAG Systems for Complex and Contradictory Data",{"provider":7,"model":8,"input_tokens":6193,"output_tokens":6194,"processing_time_ms":6195,"cost_usd":6196},5109,507,3395,0.00203775,{"type":14,"value":6198,"toc":6220},[6199,6203,6206,6210,6213,6217],[17,6200,6202],{"id":6201},"addressing-data-quality-and-lifecycle-management","Addressing Data Quality and Lifecycle Management",[22,6204,6205],{},"Most RAG failures stem from treating document repositories as static, monolithic sources of truth. In reality, human-generated data is often contradictory, evolving, and nuanced. To prevent \"unforced errors,\" developers must implement rigorous document management. This includes pruning outdated policies or conflicting versions before they reach the vector database. If a 2019 policy is superseded by a 2024 version, both should not coexist in the retrieval pool, as this forces the LLM to reconcile conflicting instructions, leading to unreliable outputs.",[17,6207,6209],{"id":6208},"implementing-clarification-loops","Implementing Clarification Loops",[22,6211,6212],{},"When user queries are ambiguous or the underlying data supports multiple valid interpretations, the system must be designed to pause and seek context. A \"clarification loop\" acts as a gatekeeper: if a query is too broad (e.g., \"Who won the championship in 2010?\") or nonsensical, the system should prompt the user for specific parameters rather than guessing. This reduces the burden on the LLM to infer intent from insufficient information and ensures the final answer is grounded in the correct subset of data.",[17,6214,6216],{"id":6215},"designing-for-ambiguity-and-contextual-truth","Designing for Ambiguity and Contextual Truth",[22,6218,6219],{},"Developers often mistakenly assume that every question has a single, factual answer. However, when dealing with legal opinions, historical records, or overlapping regulations, the system must be capable of presenting multiple perspectives or acknowledging contradictions. If the source data contains opinions, the AI should frame its output as such rather than presenting them as absolute facts. A system that returns \"X, Y, or Z\" based on the provided documentation is not hallucinating; it is accurately reflecting the complexity of the source material. Success in RAG development requires a deep understanding of the data's nature—whether it is factual, opinion-based, or time-sensitive—before architecting the retrieval pipeline.",{"title":63,"searchDepth":64,"depth":64,"links":6221},[6222,6223,6224],{"id":6201,"depth":64,"text":6202},{"id":6208,"depth":64,"text":6209},{"id":6215,"depth":64,"text":6216},[70],{"content_references":6227,"triage":6228},[],{"relevance":82,"novelty":83,"quality":83,"actionability":83,"composite":6229,"reasoning":6230},4.35,"Category: AI & LLMs. The article provides in-depth insights into designing RAG systems, addressing common pitfalls related to data quality and ambiguity, which are critical for developers building AI-powered products. It offers actionable strategies like implementing clarification loops and managing document lifecycles, making it highly relevant and practical for the target audience.","\u002Fsummaries\u002Fb6f8e65aca70cf3f-designing-robust-rag-systems-for-complex-and-contr-summary","2026-07-19 11:00:37","2026-07-23 17:58:34",{"title":6191,"description":63},{"loc":6231},"b6f8e65aca70cf3f","IBM Technology","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=xc63tFIIfeA","summaries\u002Fb6f8e65aca70cf3f-designing-robust-rag-systems-for-complex-and-contr-summary",[97,98,99,6241],"rag","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fxc63tFIIfeA\u002Fhqdefault.jpg","RAG systems often fail not due to hallucinations, but because they are built on messy, contradictory, or outdated data without proper architectural guardrails to handle ambiguity.","This video provides a high-level overview of why RAG systems struggle with contradictory or evolving data, focusing on the importance of data hygiene and prompt engineering. It offers conceptual advice—such as implementing clarification loops and ensuring the AI acknowledges ambiguity—rather than specific technical implementation steps. You can find more general context on [RAG here](https:\u002F\u002Fibm.biz\u002F~xjkgmfItH).",[6241],"Tc9DkFZWGOXYY3TqiqAZqbnVI79Tlq83YksJ-QJvp3E",{"id":6248,"title":6249,"ai":6250,"body":6255,"categories":6322,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":6323,"navigation":87,"path":6327,"published_at":6328,"question":71,"scraped_at":6328,"seo":6329,"sitemap":6330,"source_id":6331,"source_name":93,"source_type":94,"source_url":6332,"stem":6333,"tags":6334,"thumbnail_url":71,"tldr":6336,"tweet":71,"unknown_tags":6337,"__hash__":6338},"summaries\u002Fsummaries\u002Faac1e0a4d1f9f899-closing-the-loop-between-model-evaluation-and-data-summary.md","Closing the Loop Between Model Evaluation and Data Intervention",{"provider":7,"model":8,"input_tokens":6251,"output_tokens":6252,"processing_time_ms":6253,"cost_usd":6254},6062,525,3144,0.002303,{"type":14,"value":6256,"toc":6317},[6257,6261,6264,6268,6271,6285,6288,6292,6295,6314],[17,6258,6260],{"id":6259},"the-evaluation-data-gap","The Evaluation-Data Gap",[22,6262,6263],{},"Model capability is typically observed retrospectively through noisy, aggregated benchmark scores. When a model fails, engineers often struggle to bridge the gap between a high-level benchmark failure (e.g., a drop in BBH scores) and the specific data corpus intervention required to fix it. This process is usually driven by intuition rather than a systematic, auditable methodology.",[17,6265,6267],{"id":6266},"the-capability-slice-framework","The Capability Slice Framework",[22,6269,6270],{},"To solve this, the authors introduce the \"capability slice\": a granular unit of evaluation that groups samples by background condition, task type, solving operation, and output constraint. This unit is designed to be:",[33,6272,6273,6279],{},[36,6274,6275,6278],{},[39,6276,6277],{},"Specific enough"," to localize a single model weakness.",[36,6280,6281,6284],{},[39,6282,6283],{},"Stable enough"," to survive aggregation across larger datasets.",[22,6286,6287],{},"By combining these slices with a structured evaluation taxonomy and a non-instruction data taxonomy, the authors create a closed-loop system. This system allows developers to map specific benchmark failures directly to targeted data interventions, turning debugging into an experimental, repeatable process.",[17,6289,6291],{"id":6290},"validating-the-loop","Validating the Loop",[22,6293,6294],{},"The authors demonstrate the effectiveness of this loop through two contrasting case studies:",[33,6296,6297,6308],{},[36,6298,6299,6302,6303,6307],{},[39,6300,6301],{},"Ruling out data interventions:"," When continued pre-training caused a -46.82% drop in BBH performance, the loop diagnosed the issue as a single masked ",[6304,6305,6306],"code",{},"\u003CEOS>"," loss rather than a reasoning failure. Restoring this loss recovered BBH to 66.44, surpassing the original checkpoint without changing the training data.",[36,6309,6310,6313],{},[39,6311,6312],{},"Targeted data interventions:"," For a persistent math-reasoning weakness, the loop decomposed the failure by solving operation. By applying a weakness-targeted sampling procedure, the authors increased AIME2025\u002FAIME2026 Pass@128 scores from 6.67\u002F0.00 to 26.67 each.",[22,6315,6316],{},"These results demonstrate that evaluation-to-data inference can be routine and experimentally validated, moving beyond the guesswork common in current LLM development workflows.",{"title":63,"searchDepth":64,"depth":64,"links":6318},[6319,6320,6321],{"id":6259,"depth":64,"text":6260},{"id":6266,"depth":64,"text":6267},{"id":6290,"depth":64,"text":6291},[70],{"content_references":6324,"triage":6325},[],{"relevance":82,"novelty":83,"quality":83,"actionability":83,"composite":6229,"reasoning":6326},"Category: AI & LLMs. The article introduces a novel framework ('capability slices') that directly addresses a common pain point for AI developers: linking model evaluation to actionable data interventions. This practical approach provides a structured methodology that engineers can implement to improve model performance.","\u002Fsummaries\u002Faac1e0a4d1f9f899-closing-the-loop-between-model-evaluation-and-data-summary","2026-06-30 12:57:17",{"title":6249,"description":63},{"loc":6327},"aac1e0a4d1f9f899","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.28471","summaries\u002Faac1e0a4d1f9f899-closing-the-loop-between-model-evaluation-and-data-summary",[97,6335,99,98],"machine-learning","By introducing 'capability slices'—groups of evaluation samples categorized by task and operation—engineers can transform benchmark failures into precise, actionable data interventions rather than relying on intuition.",[],"ZemHrAtADRDkjl5KUkD-tKwJG0m6Zf2VNCFN1K48EZ0"]