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Evaluation of LLMs in retrieving food and nutritional context for RAG systems
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OOD-MMSafe: Advancing MLLM Safety from Harmful Intent to Hidden Consequences
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From Phase Prediction to Phase Design: A ReAct Agent Framework for High-Entropy Alloy Discovery
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MUGEN: Evaluating and Improving Multi-audio Understanding of Large Audio-Language Models
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Does the Question Really Matter? Training-Free Data Selection for Vision-Language SFT
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AutoAgent: Evolving Cognition and Elastic Memory Orchestration for Adaptive Agents
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GSStream: 3D Gaussian Splatting based Volumetric Scene Streaming System
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FrameDiT: Diffusion Transformer with Frame-Level Matrix Attention for Efficient Video Generation
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RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation
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ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping
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A Multi-Prototype-Guided Federated Knowledge Distillation Approach in AI-RAN Enabled Multi-Access Edge Computing System
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EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning
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FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis
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$M^2$-Occ: Resilient 3D Semantic Occupancy Prediction for Autonomous Driving with Incomplete Camera Inputs
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Let's Reward Step-by-Step: Step-Aware Contrastive Alignment for Vision-Language Navigation in Continuous Environments
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ENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios
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Upper Generalization Bounds for Neural Oscillators
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LAP: A Language-Aware Planning Model For Procedure Planning In Instructional Videos
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Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG
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LogoDiffuser: Training-Free Multilingual Logo Generation and Stylization via Letter-Aware Attention Control
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PanoAffordanceNet: Towards Holistic Affordance Grounding in 360° Indoor Environments
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Ego: Embedding-Guided Personalization of Vision-Language Models
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VCR: Variance-Driven Channel Recalibration for Robust Low-Light Enhancement
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Removing the Trigger, Not the Backdoor: Alternative Triggers and Latent Backdoors
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Global universality via discrete-time signatures
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World2Mind: Cognition Toolkit for Allocentric Spatial Reasoning in Foundation Models
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First Estimation of Model Parameters for Neutrino-Induced Nucleon Knockout Using Simulation-Based Inference
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EPIC-EuroParl-UdS: Information-Theoretic Perspectives on Translation and Interpreting
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Quantifying the Necessity of Chain of Thought through Opaque Serial Depth
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What is Missing? Explaining Neurons Activated by Absent Concepts
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A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
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Exploiting Label-Aware Channel Scoring for Adaptive Channel Pruning in Split Learning
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Information Theoretic Bayesian Optimization over the Probability Simplex
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Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing and Dual-Clue Consistency
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MITRA: An AI Assistant for Knowledge Retrieval in Physics Collaborations
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A Survey of Weight Space Learning: Understanding, Representation, and Generation
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Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning
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RA-SSU: Towards Fine-Grained Audio-Visual Learning with Region-Aware Sound Source Understanding
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Multi-Stream Perturbation Attack: Breaking Safety Alignment of Thinking LLMs Through Concurrent Task Interference
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Correction of Transformer-Based Models with Smoothing Pseudo-Projector
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ConfCtrl: Enabling Precise Camera Control in Video Diffusion via Confidence-Aware Interpolation
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One-Eval: An Agentic System for Automated and Traceable LLM Evaluation
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BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling
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VLM-Loc: Localization in Point Cloud Maps via Vision-Language Models
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MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents
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Execution Is the New Attack Surface: Survivability-Aware Agentic Crypto Trading with OpenClaw-Style Local Executors
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Chow-Liu Ordering for Long-Context Reasoning in Chain-of-Agents
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CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
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Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation
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A Unified Hierarchical Multi-Task Multi-Fidelity Framework for Data-Efficient Surrogate Modeling in Manufacturing
