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The Agent Said It Was Done. The Database Disagreed.
microsoft
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zhangwenbin
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AutoSynthData: Generating Training Data for Enterprise Agents upvoted an article 5 days ago
Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP AgentsOrganizations
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AutoSynthData: Generating Training Data for Enterprise Agents
ServiceNow-AI
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Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents
MultiverseComputingCAI
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Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning
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NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction
nvidia
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papers 8 days ago
Document Retrieval-Aware Chunking (D-RAC): Universal Retrieval-Aware Ingestion of Enterprise Documents via PDF Normalization and Multimodal Markdown Conversion
Paper • 2609.24220 • Published • 68
The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks
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JEV-as-a-Judge: Accept When Confident, Escalate When Unsure
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EvoOntology: A Self-Evolving Ontology Layer for Data Agents
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RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
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Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no NCCL
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Your Agent Aced the Task. Will It Do It Again?
ibm-research
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