Evaluating LLMs' Reasoning Over Ordered Procedural Steps
arxiv.org·1d
🔁Itertools
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.org·46m
🔍Python Linting
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An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
arxiv.org·46m
📨Kafka
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Beyond the Basics: 5 Advanced Prompting Strategies that Turn LLMs into Autonomous Agents (Prompt Engineering for Devs - Part 3)
🚪Python Context Managers
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On the gradient of the coefficient of the characteristic polynomial
arxiv.org·1d
🔁Python Itertools
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MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision andLanguage Models
🎀Decorators
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Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid
arxiv.org·1d
✅Pydantic
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Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
arxiv.org·46m
🔄Data Engineering
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Retracing the Past: LLMs Emit Training Data When They Get Lost
arxiv.org·46m
🔬Synthetic Data
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AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval Agent
arxiv.org·1d
⚙️Generators
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TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
arxiv.org·46m
🔧Dagster
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Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
arxiv.org·46m
🔄Data Engineering
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What if 100 agents could optimize your code simultaneously in isolated production environments without copying data?
🚀SQL Optimization
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An Empirical Study of Reasoning Steps in Thinking Code LLMs
arxiv.org·46m
👀Code Review
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NumPy Array Operations Challenge: Master Indexing, Slicing, and Binary Operations (3 Hands-On Labs)
🔁Itertools
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Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System
arxiv.org·46m
🐻❄️Polars
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