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MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation3h◆Counterfactual Model Testing Under Distribution Shift3h◆Centralized Critics for N-Agent Ad Hoc Teamwork3h◆Where and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning3h◆Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction3h◆Numina Fuse: Interactive Autoformalization in Lean 43h◆On the Limits of Sparse Linear Model with Shuffled Differential Privacy3h◆Video World Models Need Predictable Latents3h◆AutoPRL: Automated Path Representation Learning via a Learnable View Generator3h◆Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models3h◆Latent Goal Prediction from Language for Model-Based Planning3h◆Rectified Language Flow3h◆Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment3h◆Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila3h◆Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights3h◆Intervention-Certified Amplification: A Validity Gate for $\sigma$-Weighted Post-Training3h◆Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks3h◆DoubleFree:Exploiting Exploration History for Rollout-Free Multi-Task LLMs Training3h◆Unbiased Alignment for Large Language Models with Noisy Preferences3h◆ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration3h◆MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation3h◆Counterfactual Model Testing Under Distribution Shift3h◆Centralized Critics for N-Agent Ad Hoc Teamwork3h◆Where and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning3h◆Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction3h◆Numina Fuse: Interactive Autoformalization in Lean 43h◆On the Limits of Sparse Linear Model with Shuffled Differential Privacy3h◆Video World Models Need Predictable Latents3h◆AutoPRL: Automated Path Representation Learning via a Learnable View Generator3h◆Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models3h◆Latent Goal Prediction from Language for Model-Based Planning3h◆Rectified Language Flow3h◆Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment3h◆Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila3h◆Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights3h◆Intervention-Certified Amplification: A Validity Gate for $\sigma$-Weighted Post-Training3h◆Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks3h◆DoubleFree:Exploiting Exploration History for Rollout-Free Multi-Task LLMs Training3h◆Unbiased Alignment for Large Language Models with Noisy Preferences3h◆ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration3h◆
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