Wikidata
PulseAugur coverage of Wikidata — every cluster mentioning Wikidata across labs, papers, and developer communities, ranked by signal.
11 day(s) with sentiment data
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New benchmark ENTLORE tests latent organizational reasoning in enterprise QA · 6 sources tracked
Researchers have introduced ENTLORE, a new benchmark designed to evaluate latent organizational reasoning in enterprise question answering systems. This framework reconstructs enterprise structures from documents and or…
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Canonical IDs are crucial for knowledge graphs to prevent data forks
This article discusses the importance of canonical IDs for knowledge graphs to prevent data forks and inconsistencies. It proposes using prefixed ULIDs or UUIDv7 for identifiers, which are time-sortable and self-describ…
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Machine learning models detect user deaths on social media
A new dissertation details the development of machine learning classifiers capable of automatically detecting deceased users on social networking sites. The research utilized a new dataset compiled from Wikidata and X (…
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New benchmark UNLINK-VL evaluates cross-modal knowledge unlearning in VLMs
Researchers have introduced UNLINK-VL, a new benchmark designed to evaluate how effectively knowledge can be removed from vision-language models (VLMs). The benchmark focuses on the transfer of unlearning across differe…
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New TELLER method improves table entity linking with iterative error learning
Researchers have developed TELLER, a novel approach to table entity linking that iteratively optimizes based on model errors and reasoning. This method addresses limitations in static training data by refreshing prefere…
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Wikidata bans user, deletes 109 AI-discoverability items overnight
An individual user was indefinitely blocked from Wikidata and had 109 created items deleted overnight, with the reason cited as a "Promotion-only account." The user believed their edits were compliant with Wikidata's po…
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New depth-first layouts boost $k^2$-tree compression and performance
Researchers have developed new depth-first representations for $k^2$-trees to improve their efficiency and compression, addressing the poor cache performance of traditional level-wise layouts. The proposed methods, incl…
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New framework Kontrast detects knowledge inconsistencies across text, tables, and knowledge graphs
Researchers have developed Kontrast, a framework designed to identify and explain inconsistencies between information presented in text, tables, and knowledge graphs, such as those found on Wikipedia and Wikidata. The s…
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New GRISP method uses SLM for SPARQL question answering over knowledge graphs
Researchers have developed GRISP, a new method for question answering over knowledge graphs using a fine-tuned small language model (SLM). GRISP generates a SPARQL query skeleton from natural language questions and then…
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LLMs integrated with MathModDB to enhance model accessibility
Researchers have developed a novel approach to make mathematical models more accessible and interoperable by integrating Large Language Models (LLMs) with curated knowledge bases like the Mathematical Model Database (Ma…
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AI knowledge systems gain dual-signal importance framework
Researchers have proposed a new framework for AI knowledge systems that distinguishes between two types of entity importance: audience evaluation and structural authority. This dual-signal approach aims to provide a mor…
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KDAI2026 lecture covers SPARQL, DBpedia vs Wikidata, and OWL
This item details lecture number 11 of KDAI2026, focusing on SPARQL interrogation tactics. The lecture covered FILTER, REGEX, OPTIONAL, UNION, negation, BIND, and GROUP BY aggregates. It also included a comparison of DB…
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New ARGUS system tackles retrieval blind spots in AI models
A new research paper introduces ARGUS, a system designed to identify and fix "blind spots" in retrieval-augmented generation (RAG) models. These blind spots occur when a RAG system fails to retrieve relevant entities du…
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SAGA framework enhances agentic text-to-SPARQL generation with schema awareness
Researchers have introduced SAGA, a novel framework designed to improve agentic text-to-SPARQL generation for knowledge base question answering. SAGA addresses the issue of "type-blind grounding" in existing language mo…
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New brands get zero AI citations without Wikipedia presence, study finds
A study by Kre8on found that new brands, less than a year old, are not cited at all by major AI models like ChatGPT, Claude, Gemini, and Perplexity. The most significant factor for a brand to be cited by these AI models…
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GPT 5.4 Mini self-review shows no measurable gain on name-matching task
A recent experiment on the GPT 5.4 Mini model found that its self-review capability did not significantly improve performance on a name-matching task. When asked to re-evaluate its own output, the model performed simila…
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Author laments natural language dominance, calls for structured data internet
The author expresses a strong desire for a more structured, machine-readable internet, lamenting the current reliance on natural language for encoding information. They highlight existing projects like Wikidata and Open…
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LLMs extract user preferences for knowledge graphs and recommendations
Researchers have developed a method to extract structured user preference triples from conversational data using Large Language Models, aiming to build Personal Knowledge Graphs (PKGs). This approach converts unstructur…
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LLM Voting Ensembles Enhance Mathematical Concept Categorization in Mathswitch
Researchers have developed a method using a voting ensemble of Large Language Models (LLMs) to filter noisy data from Mathswitch, an open-source project that aggregates mathematical concept records from various sources …
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New AI Architecture Synapedia Defines Concepts Using Events
A new AI architecture called Synapedia proposes defining concepts not just by their properties but also by the events they are associated with. This approach, detailed in a research paper, argues that existing AI knowle…