FLAT: Smoothing the Rugged Landscape for Learnable, Sample-Efficient Traffic Calibration
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New papers, breakthroughs and academic AI research
From GPU to TPU with Coding Agents: What Works, What Fails, and What It Costs?
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Breaking Information Islands in Sparse Tuning via Small-World Connectivity
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TSBPO: Tree-Structured Branching for Policy Optimization in Interactive Language Agents
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Specification-Guided Generation for Large Language Models
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Patch-Based Deep Kernel Learning for Data Assimilation and Bias Correction with Extremely Sparse Observations
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Chance-Constrained Inspection Viewpoint Sequencing for On-Orbit Servicing via Safe Reinforcement Learning
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TADP: Dual-Branch Temporally Adaptive Differential Privacy for Expression-Aware Video Anonymization
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Advancing Clinical Trial Outcome Prediction with Domain-Specific Large Language Models
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Lineage Is Memory: Parent Inheritance and Feedback Disclosure in Short-Budget LLM-Guided Optimization
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What We Keep of What We Forget: Replacement Operators and Routing Semantics in Training-Free MoE Expert Pruning
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Context as Infrastructure: Knowledge Compilation for Retrieval in Agentic Systems with Harnesses
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