How Post-Training Shapes Biological Reasoning Models
Paper • 2606.16517 • Published • 3
Harvard University
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AI & ML interests
Artificial General Intelligence (AGI), Artificial Superintelligence (ASI), Uplift, Apotheosis
Papers
Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
Self-Improving Language Models with Bidirectional Evolutionary Search
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hlzhang109
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Towards Principled Disentanglement for Domain Generalization
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Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
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The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning
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How Does Critical Batch Size Scale in Pre-training?
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Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
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EvoLM: In Search of Lost Language Model Training Dynamics
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AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
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Weight Decay Improves Language Model Plasticity
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Scaling Reward Modeling without Human Supervision
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