ASPIRE: Saddle-Point Discovery through Set Prediction and Physical Refinement
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Spectrally Targeted Muon
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Transferability of Learned States in Neural PDE Solvers
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Optimizing Large Language Models with Chained LMOs
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Scaling to Tens of Thousands of Test-Time Iterations with Loop-Native Attention Residuals
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Error-Propagation Modeling for Failure Attribution in LLM-Based Multi-Agent Systems
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Beyond Sequences: Distilling Structured Decision Memory for LLM Recommendation
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A 3D Characterization Framework for Intelligent Sequential Decision Making
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Budgeted Multi-Source Counterfactual Annotation for Off-Policy Evaluation
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Multi-Bandwidth Distribution Matching Distillation: On the Equivalence of Distribution Matching Distillation and Drifting Models
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Safe, Persistent, and Evolving Agent Harness for Understanding Partially Observable Worlds
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Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies
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