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Documenting the tech worker movement
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Documenting the tech worker movement
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Toward provably private learning from federated data
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Understanding Latent Diffusability via Fisher Geometry
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Model Merging via Data-Free Covariance Estimation
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SeedFlood: A Step Toward Scalable Decentralized Fine-Tuning of LLMs
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Multi-Task Anti-Causal Learning for Reconstructing Urban Events from Residents' Reports
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Why GRPO Needs Normalization: A Local-Curvature Perspective on Adaptive Gradients
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Poincar\'e Meets Bellman: Revisable Memory, Operational Quotients, and Evidence-Supported Learning in Changing Environments
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The Benchmarking Epistemology: Validity Theory for Evaluating Machine Learning Models
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Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent Systems
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