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Is continuous CoT better suited for multi-lingual reasoning?
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Privacy-Preserving End-to-End Full-Duplex Speech Dialogue Models
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ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
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AutoAdapt: An Automated Domain Adaptation Framework for LLMs
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TildeOpen LLM: Leveraging Curriculum Learning to Achieve Equitable Language Representation
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SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization
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Sequential Service Region Design with Capacity-Constrained Investment and Spillover Effect
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Supporting Workflow Reproducibility by Linking Bioinformatics Tools across Papers and Executable Code
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Fusion-Poly: A Polyhedral Framework Based on Spatial-Temporal Fusion for 3D Multi-Object Tracking
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MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data
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Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
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The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal Techniques
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Alignment-Aware and Reliability-Gated Multimodal Fusion for Unmanned Aerial Vehicle Detection Across Heterogeneous Thermal-Visual Sensors
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Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions
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Video2LoRA: Unified Semantic-Controlled Video Generation via Per-Reference-Video LoRA
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Revisiting Gradient Staleness: Evaluating Distance Metrics for Asynchronous Federated Learning Aggregation
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DualTurn: Learning Turn-Taking from Dual-Channel Generative Speech Pretraining
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Wiener Chaos Expansion based Neural Operator for Singular Stochastic Partial Differential Equations
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SplitAgent: A Privacy-Preserving Distributed Architecture for Enterprise-Cloud Agent Collaboration
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SAVE: Speech-Aware Video Representation Learning for Video-Text Retrieval
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SRNeRV: A Scale-wise Recursive Framework for Neural Video Representation
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GarmentPainter: Efficient 3D Garment Texture Synthesis with Character-Guided Diffusion Model
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Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction
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Quantifying Cross-Lingual Transfer in Paralinguistic Speech Tasks
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The Struggle Between Continuation and Refusal: A Mechanistic Analysis of the Continuation-Triggered Jailbreak in LLMs
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Exploring Deep Learning and Ultra-Widefield Imaging for Diabetic Retinopathy and Macular Edema
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Fibration Policy Optimization
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SiMO: Single-Modality-Operable Multimodal Collaborative Perception
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Sensivity of LLMs' Explanations to the Training Randomness:Context, Class & Task Dependencies
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Optimising antibiotic switching via forecasting of patient physiology
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Topologically Stable Hough Transform
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Bootstrapping Audiovisual Speech Recognition in Zero-AV-Resource Scenarios with Synthetic Visual Data
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Not All Queries Need Deep Thought: CoFiCot for Adaptive Coarse-to-fine Stateful Refinement
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FedPrism: Adaptive Personalized Federated Learning under Non-IID Data
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DynamicVGGT: Learning Dynamic Point Maps for 4D Scene Reconstruction in Autonomous Driving
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FlowTouch: View-Invariant Visuo-Tactile Prediction
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NCL-UoR at SemEval-2026 Task 5: Embedding-Based Methods, Fine-Tuning, and LLMs for Word Sense Plausibility Rating
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Beyond ReinMax: Low-Variance Gradient Estimators for Discrete Latent Variables
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WaDi: Weight Direction-aware Distillation for One-step Image Synthesis
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FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use
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Event-based Motion & Appearance Fusion for 6D Object Pose Tracking
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Airborne Magnetic Anomaly Navigation with Neural-Network-Augmented Online Calibration
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Towards a more efficient bias detection in financial language models
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SAIL: Test-Time Scaling for In-Context Imitation Learning with VLM
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SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
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Prototype-Guided Concept Erasure in Diffusion Models
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How Much Do LLMs Hallucinate in Document Q&A Scenarios? A 172-Billion-Token Study Across Temperatures, Context Lengths, and Hardware Platforms
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AdaCultureSafe: Adaptive Cultural Safety Grounded by Cultural Knowledge in Large Language Models
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TA-RNN-Medical-Hybrid: A Time-Aware and Interpretable Framework for Mortality Risk Prediction
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OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations
