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OmniEdit: A Training-free framework for Lip Synchronization and Audio-Visual Editing
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Not All News Is Equal: Topic- and Event-Conditional Sentiment from Finetuned LLMs for Aluminum Price Forecasting
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Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges
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Exploring Collatz Dynamics with Human-LLM Collaboration
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Overcoming Valid Action Suppression in Unmasked Policy Gradient Algorithms
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HTMuon: Improving Muon via Heavy-Tailed Spectral Correction
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Chain of Event-Centric Causal Thought for Physically Plausible Video Generation
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Reading, Not Thinking: Understanding and Bridging the Modality Gap When Text Becomes Pixels in Multimodal LLMs
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MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration
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Probabilistic Hysteresis Factor Prediction for Electric Vehicle Batteries with Graphite Anodes Containing Silicon
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Training-free Motion Factorization for Compositional Video Generation
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Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations
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VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs
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Progressive Representation Learning for Multimodal Sentiment Analysis with Incomplete Modalities
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PM-Nav: Priori-Map Guided Embodied Navigation in Functional Buildings
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DexHiL: A Human-in-the-Loop Framework for Vision-Language-Action Model Post-Training in Dexterous Manipulation
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QUSR: Quality-Aware and Uncertainty-Guided Image Super-Resolution Diffusion Model
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Chaotic Dynamics in Multi-LLM Deliberation
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ADVERSA: Measuring Multi-Turn Guardrail Degradation and Judge Reliability in Large Language Models
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Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging for Osteoporosis Classification
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Rotation Equivariant Mamba for Vision Tasks
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Agentic AI as a Network Control-Plane Intelligence Layer for Federated Learning over 6G
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Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning
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RTFDNet: Fusion-Decoupling for Robust RGB-T Segmentation
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Deep Tabular Research via Continual Experience-Driven Execution
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DataFactory: Collaborative Multi-Agent Framework for Advanced Table Question Answering
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Bioalignment: Measuring and Improving LLM Disposition Toward Biological Systems for AI Safety
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Real-Time Trust Verification for Safe Agentic Actions using TrustBench
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RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning
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Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL
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POLISH'ing the Sky: Wide-Field and High-Dynamic Range Interferometric Image Reconstruction with Application to Strong Lens Discovery
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GIAT: A Geologically-Informed Attention Transformer for Lithology Identification
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Improving Search Agent with One Line of Code
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Better Bounds for the Distributed Experts Problem
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Progressive Split Mamba: Effective State Space Modelling for Image Restoration
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Point Cloud as a Foreign Language for Multi-modal Large Language Model
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Differentiable Stochastic Traffic Dynamics: Physics-Informed Generative Modelling in Transportation
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Dissecting Chronos: Sparse Autoencoders Reveal Causal Feature Hierarchies in Time Series Foundation Models
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DuplexCascade: Full-Duplex Speech-to-Speech Dialogue with VAD-Free Cascaded ASR-LLM-TTS Pipeline and Micro-Turn Optimization
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Latent-DARM: Bridging Discrete Diffusion And Autoregressive Models For Reasoning
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DEO: Training-Free Direct Embedding Optimization for Negation-Aware Retrieval
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The Costs of Reproducibility in Music Separation Research: a Replication of Band-Split RNN
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Explainable Innovation Engine: Dual-Tree Agent-RAG with Methods-as-Nodes and Verifiable Write-Back
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$P^2$GNN: Two Prototype Sets to boost GNN Performance
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The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational Awareness
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The Radio-Frequency Transformer for Signal Separation
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Evaluate-as-Action: Self-Evaluated Process Rewards for Retrieval-Augmented Agents
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Emotion is Not Just a Label: Latent Emotional Factors in LLM Processing
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Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
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Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption
