EASE: Practical and Efficient Safety Alignment for Small Language Models
arxiv.org·5h
Pydantic
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Programmable Cell Therapy: High-Throughput Parameter Optimization via Bayesian Inference and Microfluidic Screening
dev.to·3h·
Discuss: DEV
🔄Data Engineering
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More Agents Helps but Adversarial Robustness Gap Persists
arxiv.org·5h
🔁Python Itertools
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Adaptive Gradient-Free Optimization via High-Dimensional Feature Space Mapping & Ensemble Learning
dev.to·4h·
Discuss: DEV
🔄Data Engineering
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Consistency Is Not Always Correct: Towards Understanding the Role of Exploration in Post-Training Reasoning
arxiv.org·5h
🔍Fuzzy Finders
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Model Counting for Dependency Quantified Boolean Formulas
arxiv.org·5h
🔁Itertools
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I Let 5 AI Agents Fight Inside My Database
dev.to·21h·
Discuss: DEV
🏛️Clickhouse
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CGLE: Class-label Graph Link Estimator for Link Prediction
arxiv.org·5h
🐻‍❄️Polars
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Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
arxiv.org·5h
🔄Data Engineering
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Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models
arxiv.org·5h
🔍Fuzzy Finders
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TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training
arxiv.org·4d
⚙️Generators
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Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
arxiv.org·5h
🐻‍❄️Polars
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Understanding Python Async Patterns: A Comprehensive Guide
dev.to·2d·
Discuss: DEV
Python Concurrency
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Go Concurrent Maps: From Bottlenecks to High-Performance Sharded Solutions That Scale
dev.to·2d·
Discuss: DEV
Python Concurrency
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The Linear Team Made a Good MCP
dev.to·1d·
Discuss: DEV
Pydantic
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Automated Finite Element Model Calibration via Bayesian Optimization and Surrogate Modeling
dev.to·41m·
Discuss: DEV
🔧Dagster
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