Gains and Collapse in On-Policy Distillation:A Reinforcement Learning Perspective
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JOVE: Joint Execution and Verification for Resource-Aware LLM Task Graphs
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Asterism: Exploring and Synthesizing Scattered Observations into Literature-Grounded Hypotheses and Theories
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Context-Tower Conversion Preserves Generation While Freezing Retains Knowledge: Low-Budget AR-to-Diffusion Conversion of MoE LLMs
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Optimal Planning in a Dynamic World
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Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers
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Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning
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KV$^2$: A Self-Refining KV Cache
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Toward SLM-based agentic task-tool intent matching
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Refinement Buys Intelligibility, Search Buys Identity: What Test-Time Compute Buys in Masked-Diffusion TTS
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Multilingual GSM-Symbolic: What determines capability transfer across languages?
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Lightweight, Rubric-Guided Trajectory Evaluation for Production AI Agents
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