SPDAlign: Interpretable Riemannian Alignment for EEG Forward Modeling Shifts
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New papers, breakthroughs and academic AI research
Characterizing How Complex Agentic AI Systems Handle General Tasks: A Trace-Based Simulation Study
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Scaling Participation in Modular AI Systems
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Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators
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AdaptInfer: Adaptive Token Pruning for Vision-Language Model Inference via Dynamical Text Guidance
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MMLongCite: A Benchmark for Evaluating Faithfulness of Long-Context Vision-Language Models
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RefAtomNet++: Advancing Referring Atomic Video Action Recognition using Multi-Trajectory Semantic Retrieval
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Fine-Grained Caching for Diffusion Transformers with Few Calibration Conditions
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Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems
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CIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs
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Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization
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Dynamic Minimax Regret Optimization for Robust LLM Post-Training
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