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#HybridAI

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Harald Sack<p>Interesting new paper: "Graph-constrained Reasoning (GCR)" - Enabling Faithful KG-grounded LLM Reasoning with Zero Hallucination! 🧠 by Linhao Luo, Zicheng Zhao, Chen Gong, Gholamreza Haffari, Shirui Pan</p><p>paper: <a href="https://arxiv.org/pdf/2410.13080" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/pdf/2410.13080</span><span class="invisible"></span></a><br>GCR code on GitHub: <a href="https://github.com/RManLuo/graph-constrained-reasoning" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/RManLuo/graph-const</span><span class="invisible">rained-reasoning</span></a></p><p><a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llms</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/neurosymbolic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neurosymbolic</span></a> <a href="https://sigmoid.social/tags/hybridaI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hybridaI</span></a> <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
FIZ ISE Research Group<p>Team FIZ ISE at <a href="https://sigmoid.social/tags/Semantics2024" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Semantics2024</span></a>. Great conference, inspiring keynote speakers, lively discussions with friends and colleagues. </p><p><span class="h-card" translate="no"><a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>enorouzi</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@GenAsefa" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>GenAsefa</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@lysander07" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>lysander07</span></a></span> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>fiz_karlsruhe</span></a></span> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/semanticsconf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>semanticsconf</span></a> <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://sigmoid.social/tags/hybridAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hybridAI</span></a> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/neurosymbolicAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neurosymbolicAI</span></a></p>
Harald Sack<p>In her keynote at <a href="https://sigmoid.social/tags/Semantics2024" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Semantics2024</span></a>, Maria-Esther Vidal is reflecting on the trends in <a href="https://sigmoid.social/tags/SemanticWeb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SemanticWeb</span></a> research over the years pointing out that the rapid growth of Hybrid AI is reflecting the demand for improved AI explainalibilty.</p><p>related paper: Breit et al., Combining Machine Learning and Semantic Web: A Systematic Mapping Study, ACM Comp. Surv., 55, 2023<br><a href="https://dl.acm.org/doi/10.1145/3586163" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">dl.acm.org/doi/10.1145/3586163</span><span class="invisible"></span></a></p><p><a href="https://sigmoid.social/tags/Semanticsconf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Semanticsconf</span></a> <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://sigmoid.social/tags/HybridAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HybridAI</span></a> <a href="https://sigmoid.social/tags/neurosymbolicAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neurosymbolicAI</span></a> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgegraphs</span></a></p>
PrivacyDigest<p>How <a href="https://mas.to/tags/AppleIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AppleIntelligence</span></a> ’s <a href="https://mas.to/tags/Privacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Privacy</span></a> Stacks Up Against Android’s ‘Hybrid AI’ </p><p><a href="https://mas.to/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeAI</span></a> is seeping into the core of your phone, but what does that mean for privacy? Here’s how Apple’s unique <a href="https://mas.to/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mas.to/tags/architecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>architecture</span></a> compares to the “hybrid” approach adopted by <a href="https://mas.to/tags/Samsung" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Samsung</span></a> and <a href="https://mas.to/tags/Google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Google</span></a><br><a href="https://mas.to/tags/hybridai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hybridai</span></a> <a href="https://mas.to/tags/Android" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Android</span></a></p><p> <a href="https://www.wired.com/story/apple-intelligence-android-hybrid-ai-privacy/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">wired.com/story/apple-intellig</span><span class="invisible">ence-android-hybrid-ai-privacy/</span></a></p>
Harald Sack<p>Interesting paper on how to improve LLM-based Question Answering. They present an ontology-based error checker for LLM-generated SPARQL queries and an approach to automatically repair the SPARQL queries:<br>Dean Allemang, Juan Sequeda: Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!</p><p><a href="https://arxiv.org/pdf/2404.07198.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/pdf/2404.07198.pdf</span><span class="invisible"></span></a></p><p><a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llms</span></a> <a href="https://sigmoid.social/tags/sparql" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sparql</span></a> <a href="https://sigmoid.social/tags/qa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qa</span></a> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/ontologies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ontologies</span></a> <a href="https://sigmoid.social/tags/hybridai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hybridai</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <span class="h-card" translate="no"><a href="https://data-folks.masto.host/@juan" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>juan</span></a></span></p>
Harald Sack<p>Calling Knowledge Graphs and Symbolic AI to the rescue! How <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgegraphs</span></a> can help to improve the performance of large language models and lower the risks of hallucination, we will explain in this section of our free <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>kg2023</span></a> lecture.<br>OpenHPI video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/1zeQqWUsn1G7YpSvqAAwMI" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/1zeQqWUsn1G7YpSvqAAwMI</span></a><br>youtube video: <a href="https://www.youtube.com/watch?v=5XhaLlQPsrg&amp;list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&amp;index=63" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=5XhaLlQPsr</span><span class="invisible">g&amp;list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&amp;index=63</span></a><br>Slides: <a href="https://zenodo.org/records/10185291" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zenodo.org/records/10185291</span><span class="invisible"></span></a> <a href="https://sigmoid.social/tags/ccby40" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ccby40</span></a> <br><span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>fizise</span></a></span> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llms</span></a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://sigmoid.social/tags/hybridAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hybridAI</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a></p>
Harald Sack<p>The impact of recent developments in AI on cultural heritage research was the topic of my presentation yesterday at the IM/MATERIALITIES - Museums between Real and Digital conference entitled "The Ghost of the Machine - AIs Impact on Cultural Heritage Research" <br>Presentation Slides: <a href="https://zenodo.org/records/10244628" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zenodo.org/records/10244628</span><span class="invisible"></span></a><br><a href="https://sigmoid.social/tags/culturalheritage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>culturalheritage</span></a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llms</span></a> <a href="https://sigmoid.social/tags/visualanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>visualanalysis</span></a> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/hybridai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hybridai</span></a> <a href="https://sigmoid.social/tags/iconclass" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>iconclass</span></a> <a href="https://sigmoid.social/tags/arthistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>arthistory</span></a> <a href="https://sigmoid.social/tags/performingarts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>performingarts</span></a> <a href="https://sigmoid.social/tags/linkedstagegraph" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linkedstagegraph</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://nfdi.social/@nfdi4culture" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>nfdi4culture</span></a></span> <span class="h-card" translate="no"><a href="https://bird.makeup/users/nfdi4memory" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>nfdi4memory</span></a></span></p>
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