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6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models
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Memento-Skills: Let Agents Design Agents
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Automatic detection of Gen-AI texts: A comparative framework of neural models
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WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification
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Are complicated loss functions necessary for teaching LLMs to reason?
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InjectFlow: Weak Guides Strong via Orthogonal Injection for Flow Matching
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DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection
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Dual-Model Prediction of Affective Engagement and Vocal Attractiveness from Speaker Expressiveness in Video Learning
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NeuroGame Transformer: Gibbs-Inspired Attention Driven by Game Theory and Statistical Physics
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ClawTrap: A MITM-Based Red-Teaming Framework for Real-World OpenClaw Security Evaluation
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ProCal: Probability Calibration for Neighborhood-Guided Source-Free Domain Adaptation
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Implicit Grading Bias in Large Language Models: How Writing Style Affects Automated Assessment Across Math, Programming, and Essay Tasks
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Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
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A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models
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Automatic Configuration of LLM Post-Training Pipelines
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SEAR: Simple and Efficient Adaptation of Visual Geometric Transformers for RGB+Thermal 3D Reconstruction
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SRRM: Improving Recursive Transport Surrogates in the Small-Discrepancy Regime
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Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors
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Proceedings of the 2nd Workshop on Advancing Artificial Intelligence through Theory of Mind
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Mi:dm K 2.5 Pro
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Rethinking Uncertainty Quantification and Entanglement in Image Segmentation
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Functional Subspace Watermarking for Large Language Models
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Perceptio: Perception Enhanced Vision Language Models via Spatial Token Generation
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VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation
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Signals of Success and Struggle: Early Prediction and Physiological Signatures of Human Performance across Task Complexity
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dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models
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Can LLM generate interesting mathematical research problems?
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ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents
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Seasoning Generative Models for a Generalization Aftertaste
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Detecting Basic Values in A Noisy Russian Social Media Text Data: A Multi-Stage Classification Framework
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Student views in AI Ethics and Social Impact
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Agent Control Protocol: Admission Control for Agent Actions
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Statistical Characteristic-Guided Denoising for Rapid High-Resolution Transmission Electron Microscopy Imaging
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Model Order Reduction of Cerebrovascular Hemodynamics Using POD_Galerkin and Reservoir Computing_based Approach
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A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction
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Towards Interpretable Foundation Models for Retinal Fundus Images
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HORNet: Task-Guided Frame Selection for Video Question Answering with Vision-Language Models
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Learn for Variation: Variationally Guided AAV Trajectory Learning in Differentiable Environments
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BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding
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Motion-o: Trajectory-Grounded Video Reasoning
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RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models
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Why Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders
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Data-driven construction of machine-learning-based interatomic potentials for gas-surface scattering dynamics: the case of NO on graphite
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RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction
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Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions
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Through the Looking-Glass: AI-Mediated Video Communication Reduces Interpersonal Trust and Confidence in Judgments
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Transferable Multi-Bit Watermarking Across Frozen Diffusion Models via Latent Consistency Bridges
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Bridging Network Fragmentation: A Semantic-Augmented DRL Framework for UAV-aided VANETs
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DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning
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Evaluating LLM-Generated Lessons from the Language Learning Students' Perspective: A Short Case Study on Duolingo
