Alignment via Training Against Probes Without Losing Monitorability
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New papers, breakthroughs and academic AI research
Provable Test-Time Scaling for Beam Search in LLM Reasoning
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Schema: Discovering Unknown Environments via Agentic Program Induction
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Markovian Dynamics Enforcer: Feasibility Preserving Correction on Learned Dynamics Manifolds
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Alleviating Hallucination in Reasoning Tasks with Training-Free Uncertainty-Guided Steering
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Search Shapes Conclusions: Auditing Evidence Selection Bias in Deep Research Agents
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Multi-LLM Collaborative Alignment via Stackelberg Games
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Shared Weights, Selected Computations: How Looped Transformers Route What Each Loop Does
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Language-Conditioned World Modeling for Visual Navigation
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Uncertainty-Normalized Margins for Direct Preference Optimization
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C-STRIDE: An Observation-Driven AI Digital Twin for Predicting Basin-Wide Flood Fields from Sparse Stream-Gauge Histories
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Beyond Prediction: Steering VLM Agents with Retrospective World Modeling
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