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Hidden Clones: Exposing and Fixing Family Bias in Vision-Language Model Ensembles
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Cascade-Aware Multi-Agent Routing: Spatio-Temporal Sidecars and Geometry-Switching
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MosaicMem: Hybrid Spatial Memory for Controllable Video World Models
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Security Assessment and Mitigation Strategies for Large Language Models: A Comprehensive Defensive Framework
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Topology-Preserving Deep Joint Source-Channel Coding for Semantic Communication
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SMAL-pets: SMAL Based Avatars of Pets from Single Image
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Contextual Preference Distribution Learning
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REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge
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Multilingual Reference Need Assessment System for Wikipedia
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Personalized Fall Detection by Balancing Data with Selective Feedback Using Contrastive Learning
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Intent Formalization: A Grand Challenge for Reliable Coding in the Age of AI Agents
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Shielded Reinforcement Learning Under Dynamic Temporal Logic Constraints
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A Lensless Polarization Camera
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BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images
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Self-Regularized Learning Methods
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GazeOnce360: Fisheye-Based 360° Multi-Person Gaze Estimation with Global-Local Feature Fusion
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Quadratic Surrogate Attractor for Particle Swarm Optimization
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SLAM Adversarial Lab: An Extensible Framework for Visual SLAM Robustness Evaluation under Adverse Conditions
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How Clued up are LLMs? Evaluating Multi-Step Deductive Reasoning in a Text-Based Game Environment
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PAuth - Precise Task-Scoped Authorization For Agents
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Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs
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Noise-Response Calibration: A Causal Intervention Protocol for LLM-Judges
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Generalist Multimodal LLMs Gain Biometric Expertise via Human Salience
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Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
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Domain-informed explainable boosting machines for trustworthy lateral spread predictions
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Towards Unsupervised Adversarial Document Detection in Retrieval Augmented Generation Systems
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Patient4D: Temporally Consistent Patient Body Mesh Recovery from Monocular Operating Room Video
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Visual Product Search Benchmark
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MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild
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Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data
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Self-Conditioned Denoising for Atomistic Representation Learning
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Abstraction as a Memory-Efficient Inductive Bias for Continual Learning
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Catching rationalization in the act: detecting motivated reasoning before and after CoT via activation probing
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CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization
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OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
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SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization
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A scalable neural bundle map for multiphysics prediction in lithium-ion battery across varying configurations
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Adaptive Contracts for Cost-Effective AI Delegation
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An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks
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AI Scientist via Synthetic Task Scaling
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Anonymous-by-Construction: An LLM-Driven Framework for Privacy-Preserving Text
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Alignment Makes Language Models Normative, Not Descriptive
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SA-CycleGAN-2.5D: Self-Attention CycleGAN with Tri-Planar Context for Multi-Site MRI Harmonization
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TharuChat: Bootstrapping Large Language Models for a Low-Resource Language via Synthetic Data and Human Validation
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Single-Pass Discrete Diffusion Predicts High-Affinity Peptide Binders at >1,000 Sequences per Second across 150 Receptor Targets
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Towards Solving Polynomial-Objective Integer Programming with Hypergraph Neural Networks
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Modeling Matches as Language: A Generative Transformer Approach for Counterfactual Player Valuation in Football
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Tracking the Discriminative Axis: Dual Prototypes for Test-Time OOD Detection Under Covariate Shift
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Towards Foundation Models for Consensus Rank Aggregation
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InterPol: De-anonymizing LM Arena via Interpolated Preference Learning
