Welcome to DataHaskell
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A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics
nature.com·16h
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Has Google Solved Two of AI's Oldest Problems?
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Don’t Fight the Weights
dbreunig.com·18h
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MENTOR: A Metacognition-Driven Self-Evolution Framework for Uncovering and Mitigating Implicit Risks in LLMs on Domain Tasks
arxiv.org·1d
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On Text Simplification Metrics and General-Purpose LLMs for Accessible Health Information, and A Potential Architectural Advantage of The Instruction-Tuned LLM ...
arxiv.org·2d
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How Particle-System Random Batch Methods Enhance Graph Transformer: Memory Efficiency and Parallel Computing Strategy
arxiv.org·1d
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Everything You Need to Know About LLM Evaluation Metrics
machinelearningmastery.com·2d
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From Visibility to Decisiveness: Operation Intelligence Redefines the Intelligent O&M Paradigm for Enterprises
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Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
arxiv.org·1d
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Analysing Environmental Efficiency in AI for X-Ray Diagnosis
arxiv.org·6h
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Structural Properties, Cycloid Trajectories and Non-Asymptotic Guarantees of EM Algorithm for Mixed Linear Regression
arxiv.org·2d
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HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection
arxiv.org·1d
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Evaluating LLMs' Reasoning Over Ordered Procedural Steps
arxiv.org·2d
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Automated Invoice Data Extraction: Using LLM and OCR
arxiv.org·1d
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Clustering-based Anomaly Detection in Multivariate Time Series Data
arxiv.org·6h
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Context rot: the emerging challenge that could hold back LLM progress
understandingai.org·1d
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How to Build Production-Ready RAG Systems (at Scale, with Low Latency & High Accuracy)
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