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98$\times$ Faster LLM Routing Without a Dedicated GPU: Flash Attention, Prompt Compression, and Near-Streaming for the vLLM Semantic Router
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LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction
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From Sparse to Dense: Multi-View GRPO for Flow Models via Augmented Condition Space
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Sobolev--Ricci Curvature
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VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model
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VFM-Recon: Unlocking Cross-Domain Scene-Level Neural Reconstruction with Scale-Aligned Foundation Priors
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Continual Learning in Large Language Models: Methods, Challenges, and Opportunities
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AVION: Aerial Vision-Language Instruction from Offline Teacher to Prompt-Tuned Network
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CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design
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Learning Geometric and Photometric Features from Panoramic LiDAR Scans for Outdoor Place Categorization
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From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space
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Spatial Transcriptomics as Images for Large-Scale Pretraining
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RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction
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Marker-Based 3D Reconstruction of Aggregates with a Comparative Analysis of 2D and 3D Morphologies
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Vision Verification Enhanced Fusion of VLMs for Efficient Visual Reasoning
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Spatially Grounded Long-Horizon Task Planning in the Wild
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Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs
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MetaKE: Meta-learning Aligned Knowledge Editing via Bi-level Optimization
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Bin~Wan,G2HFNet: GeoGran-Aware Hierarchical Feature Fusion Network for Salient Object Detection in Optical Remote Sensing Images
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Colluding LoRA: A Composite Attack on LLM Safety Alignment
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Experimental evidence of progressive ChatGPT models self-convergence
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Federated Hierarchical Clustering with Automatic Selection of Optimal Cluster Numbers
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RSONet: Region-guided Selective Optimization Network for RGB-T Salient Object Detection
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STRAP-ViT: Segregated Tokens with Randomized -- Transformations for Defense against Adversarial Patches in ViTs
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CM-Bench: A Comprehensive Cross-Modal Feature Matching Benchmark Bridging Visible and Infrared Images
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HSEmotion Team at ABAW-10 Competition: Facial Expression Recognition, Valence-Arousal Estimation, Action Unit Detection and Fine-Grained Violence Classification
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RXNRECer Enables Fine-grained Enzymatic Function Annotation through Active Learning and Protein Language Models
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HaltNav: Reactive Visual Halting over Lightweight Topological Priors for Robust Vision-Language Navigation
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EvolveCoder: Evolving Test Cases via Adversarial Verification for Code Reinforcement Learning
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Seeing Eye to Eye: Enabling Cognitive Alignment Through Shared First-Person Perspective in Human-AI Collaboration
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FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
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VCBench: A Streaming Counting Benchmark for Spatial-Temporal State Maintenance in Long Videos
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Cost-Efficient Multimodal LLM Inference via Cross-Tier GPU Heterogeneity
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HFP-SAM: Hierarchical Frequency Prompted SAM for Efficient Marine Animal Segmentation
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AI Planning Framework for LLM-Based Web Agents
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Text-Phase Synergy Network with Dual Priors for Unsupervised Cross-Domain Image Retrieval
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Design-Specification Tiling for ICL-based CAD Code Generation
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Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging
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UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC
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Altered Thoughts, Altered Actions: Probing Chain-of-Thought Vulnerabilities in VLA Robotic Manipulation
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The COTe score: A decomposable framework for evaluating Document Layout Analysis models
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IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration
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CMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration
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CognitionCapturerPro: Towards High-Fidelity Visual Decoding from EEG/MEG via Multi-modal Information and Asymmetric Alignment
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SciDesignBench: Benchmarking and Improving Language Models for Scientific Inverse Design
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Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
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Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems
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On Using Machine Learning to Early Detect Catastrophic Failures in Marine Diesel Engines
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VecMol: Vector-Field Representations for 3D Molecule Generation
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SRAM-Based Compute-in-Memory Accelerator for Linear-decay Spiking Neural Networks
