DistScene: Object-to-Scene Distillation for 3D Scene Generation
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Learning from Unreliable Trajectories: Adversarially-Robust Federated Q-Learning
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Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
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A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning
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QiYao-I: A Manifold Based Foundation Model for Irregular Multivariate Time Series Forecasting
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FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration
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Visual-Invariance-Augmented Feature Optimal Alignment for Transferable Adversarial Attacks against Closed-Source MLLMs
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Direct Regret Optimization in Bayesian Optimization
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Predicting kernel regression learning curves from only raw data statistics
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Neural Bayesian Filtering
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Cross-Modality Controlled Molecule Generation with Diffusion Language Model
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Tree Navigation Without LLM Summaries: A Matched-Cost Study of Hierarchical Retrieval for Long-Document QA
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