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    <description>Recent content in DEEM Lab on DEEM Lab</description>
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      <title>Be Fair! Can Machine Learning Engineering Agents Adhere to Fairness Constraints?</title>
      <link>https://deem.berlin/publication/2026-06-04-be-fair-can-machine-learning-engineering-agents-adhere-to-fairness-constraints/</link>
      <pubDate>Tue, 07 Jul 2026 00:00:00 +0000</pubDate>
      
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      <description></description>
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    <item>
      <title>Illoominate – Data Shapley Values for Debugging Neighborhood-based Recommender Systems</title>
      <link>https://deem.berlin/publication/2026-06-24-illoominate-data-shapley-values-for-debugging-neighborhood-based-recommender-systems-acm-tors/</link>
      <pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-06-24-illoominate-data-shapley-values-for-debugging-neighborhood-based-recommender-systems-acm-tors/</guid>
      <description></description>
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    <item>
      <title>ArtiFact: A Large-Scale Multi-Modal Cultural Heritage Dataset</title>
      <link>https://deem.berlin/publication/2026-06-09-artifact-a-large-scale-multi-modal-cultural-heritage-dataset/</link>
      <pubDate>Thu, 04 Jun 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-06-09-artifact-a-large-scale-multi-modal-cultural-heritage-dataset/</guid>
      <description></description>
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    <item>
      <title>SemPiper: Interactive Code Synthesis for Semantic Operators in Machine Learning Pipelines</title>
      <link>https://deem.berlin/publication/2026-05-31-sempiper-interactive-code-synthesis-for-semantic-operators-in-machine-learning-pipelines-vldb/</link>
      <pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-05-31-sempiper-interactive-code-synthesis-for-semantic-operators-in-machine-learning-pipelines-vldb/</guid>
      <description></description>
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    <item>
      <title>Distilled Documentation for Dialect-Specific SQL Generation</title>
      <link>https://deem.berlin/publication/2026-04-29-distilled-documentation-for-dialect-specific-sql-generation/</link>
      <pubDate>Wed, 29 Apr 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-04-29-distilled-documentation-for-dialect-specific-sql-generation/</guid>
      <description></description>
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    <item>
      <title>PrismaDV: Automated Task-Aware Data Unit Test Generation</title>
      <link>https://deem.berlin/publication/2026-04-24-prismadv-automated-task-aware-data-unit-test-generation/</link>
      <pubDate>Fri, 24 Apr 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-04-24-prismadv-automated-task-aware-data-unit-test-generation/</guid>
      <description></description>
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    <item>
      <title>SemBench accepted at VLDB</title>
      <link>https://deem.berlin/post/2026-04-22-arnab-award/</link>
      <pubDate>Wed, 22 Apr 2026 00:00:00 +0200</pubDate>
      
      <guid>https://deem.berlin/post/2026-04-22-arnab-award/</guid>
      <description></description>
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    <item>
      <title>ERASE - A Real-World Aligned Benchmark for Unlearning in Recommender Systems</title>
      <link>https://deem.berlin/publication/2026-03-05-erase-a-real-world-aligned-benchmark-for-unlearning-in-recommender-systems/</link>
      <pubDate>Thu, 02 Apr 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-03-05-erase-a-real-world-aligned-benchmark-for-unlearning-in-recommender-systems/</guid>
      <description></description>
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    <item>
      <title>Lineage-based Reuse and Memory Management for Multi-backend ML Systems</title>
      <link>https://deem.berlin/publication/2026-04-01-lineage-based-reuse-and-memory-management-for-multi-backend-ml-systems-sigmodrecord/</link>
      <pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-04-01-lineage-based-reuse-and-memory-management-for-multi-backend-ml-systems-sigmodrecord/</guid>
      <description></description>
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    <item>
      <title>SemBench: A Benchmark for Semantic Query Processing Engines</title>
      <link>https://deem.berlin/publication/2026-03-15-sembench-a-benchmark-for-semantic-query-processing-engines/</link>
      <pubDate>Sun, 15 Mar 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-03-15-sembench-a-benchmark-for-semantic-query-processing-engines/</guid>
      <description></description>
    </item>
    
    <item>
      <title>SemBench accepted at VLDB</title>
      <link>https://deem.berlin/post/2026-03-15-sembench/</link>
      <pubDate>Sun, 15 Mar 2026 00:00:00 +0100</pubDate>
      
      <guid>https://deem.berlin/post/2026-03-15-sembench/</guid>
      <description></description>
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    <item>
      <title>Understanding Visual Saliency of Outlier Items in Product Search</title>
      <link>https://deem.berlin/publication/2026-03-07-understanding-visual-saliency-of-outlier-items-in-product-search/</link>
      <pubDate>Sat, 07 Mar 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-03-07-understanding-visual-saliency-of-outlier-items-in-product-search/</guid>
      <description></description>
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    <item>
      <title>Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Exploration</title>
      <link>https://deem.berlin/publication/2026-03-05-cost-efficient-rag-for-entity-matching-with-llms/</link>
      <pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-03-05-cost-efficient-rag-for-entity-matching-with-llms/</guid>
      <description></description>
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    <item>
      <title>stratum: A System Infrastructure for Massive Agent-Centric ML Workloads</title>
      <link>https://deem.berlin/publication/2026-03-01-stratum-a-system-infrastructure-for-massive-agent-centric-ml-workloads/</link>
      <pubDate>Sun, 01 Mar 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-03-01-stratum-a-system-infrastructure-for-massive-agent-centric-ml-workloads/</guid>
      <description></description>
    </item>
    
    <item>
      <title>SemPipes - Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines</title>
      <link>https://deem.berlin/publication/2026-02-06-sempipes-optimizable-semantic-data-operators-for-tabular-ml-pipelines/</link>
      <pubDate>Fri, 06 Feb 2026 00:00:00 +0000</pubDate>
      
      <guid>https://deem.berlin/publication/2026-02-06-sempipes-optimizable-semantic-data-operators-for-tabular-ml-pipelines/</guid>
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