All There Is to Know, More or Less
millersbookreview.comΒ·1d
πŸ“NLP
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SampCert: Verified Foundations for Differential Privacy (PLDI 2025)
dl.acm.orgΒ·14hΒ·
Discuss: Hacker News
πŸ“NLP
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From Legacy To Learning Intelligence: Knowing When To Replace Your LMS
elearningindustry.comΒ·12h
πŸ“„Document AI
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Workload Identity in a Multi System Environment (Wimse) Architecture
datatracker.ietf.orgΒ·10hΒ·
Discuss: Hacker News
πŸ“NLP
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Essential Chunking Techniques for Building Better LLM Applications
machinelearningmastery.comΒ·19h
πŸ“NLP
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From logs to insights: The AI breakthrough redefining observability
venturebeat.comΒ·2d
πŸ“„Document AI
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.orgΒ·3d
πŸ“NLP
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Improving Diagnostic Performance on Small and Imbalanced Datasets Using Class-Based Input Image Composition
arxiv.orgΒ·1h
🎯Vector Search
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DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
arxiv.orgΒ·3d
πŸ“NLP
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Biological Regulatory Network Inference through Circular Causal Structure Learning
arxiv.orgΒ·2d
πŸ€–AI
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**Bias-Free Data Curation: A Crucial Step in AI Ethics**
dev.toΒ·14hΒ·
Discuss: DEV
πŸ€–AI
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DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration
arxiv.orgΒ·1h
πŸ€–AI
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KoTaP: A Panel Dataset for Corporate Tax Avoidance, Performance, and Governance in Korea
arxiv.orgΒ·1h
πŸ“„Document AI
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KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation
arxiv.orgΒ·2d
🧠RAG
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Distributed Media Inferencing with Kafka
dev.toΒ·10hΒ·
Discuss: DEV
πŸ“NLP
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Why Software Development Is Not Assembly-Line Work
dev.toΒ·16hΒ·
Discuss: DEV
πŸ“NLP
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.orgΒ·1h
πŸ€–AI
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Levers of Power in the Field of AI
arxiv.orgΒ·1h
πŸ“„Document AI
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Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
arxiv.orgΒ·1h
πŸ€–AI
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