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How to make the most of your masked language model for protein engineering
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Is this Idea Novel? An Automated Benchmark for Judgment of Research Ideas
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Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning
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Large language models can disambiguate opioid slang on social media
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The Orthogonal Vulnerabilities of Generative AI Watermarks: A Comparative Empirical Benchmark of Spatial and Latent Provenance
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NasoVoce: A Nose-Mounted Low-Audibility Speech Interface for Always-Available Speech Interaction
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PC-Diffuser: Path-Consistent Capsule CBF Safety Filtering for Diffusion-Based Trajectory Planner
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Does Reasoning Make Search More Fair? Comparing Fairness in Reasoning and Non-Reasoning Rerankers
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Fuel Gauge: Estimating Chain-of-Thought Length Ahead of Time in Large Multimodal Models
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Overcoming Visual Clutter in Vision Language Action Models via Concept-Gated Visual Distillation
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Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
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On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits
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EmoStory: Emotion-Aware Story Generation
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Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck
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StyleGallery: Training-free and Semantic-aware Personalized Style Transfer from Arbitrary Image References
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Utility Function is All You Need: LLM-based Congestion Control
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HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation
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One Token, Two Fates: A Unified Framework via Vision Token Manipulation Against MLLMs Hallucination
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Geometric Autoencoder for Diffusion Models
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Dynamic Knowledge Fusion for Multi-Domain Dialogue State Tracking
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Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems
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GeoSense: Internalizing Geometric Necessity Perception for Multimodal Reasoning
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Speech Codec Probing from Semantic and Phonetic Perspectives
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Edge-Assisted Multi-Robot Visual-Inertial SLAM with Efficient Communication
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Few-Shot Adaptation to Non-Stationary Environments via Latent Trend Embedding for Robotics
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Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas
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Causal Concept Graphs in LLM Latent Space for Stepwise Reasoning
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Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design
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Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability
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Variance-Aware Adaptive Weighting for Diffusion Model Training
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Safe Probabilistic Planning for Human-Robot Interaction using Conformal Risk Control
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Graph-GRPO: Training Graph Flow Models with Reinforcement Learning
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Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities
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On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD
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Multi-Person Pose Estimation Evaluation Using Optimal Transportation and Improved Pose Matching
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GLM-OCR Technical Report
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Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers
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DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control
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MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production
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Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning
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Adaptive Active Learning for Online Reliability Prediction of Satellite Electronics
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Dynamic Multi-period Experts for Online Time Series Forecasting
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Learning Adaptive LLM Decoding
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Verifying Good Regulator Conditions for Hypergraph Observers: Natural Gradient Learning from Causal Invariance via Established Theorems
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Intelligent Spatial Estimation for Fire Hazards in Engineering Sites: An Enhanced YOLOv8-Powered Proximity Analysis Framework
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A Text-Native Interface for Generative Video Authoring
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Exclusive Self Attention
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GST-VLA: Structured Gaussian Spatial Tokens for 3D Depth-Aware Vision-Language-Action Models
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PPO-Based Hybrid Optimization for RIS-Assisted Semantic Vehicular Edge Computing
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OmniEdit: A Training-free framework for Lip Synchronization and Audio-Visual Editing
