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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
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SCENEBench: An Audio Understanding Benchmark Grounded in Assistive and Industrial Use Cases
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A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks
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GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection
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Rethinking Adam for Time Series Forecasting: A Simple Heuristic to Improve Optimization under Distribution Shifts
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CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning
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N-gram-like Language Models Predict Reading Time Best
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MissBench: Benchmarking Multimodal Affective Analysis under Imbalanced Missing Modalities
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Do What I Say: A Spoken Prompt Dataset for Instruction-Following
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Emerging Extrinsic Dexterity in Cluttered Scenes via Dynamics-aware Policy Learning
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DISPLAY: Directable Human-Object Interaction Video Generation via Sparse Motion Guidance and Multi-Task Auxiliary
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Benchmarking Political Persuasion Risks Across Frontier Large Language Models
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LCA: Local Classifier Alignment for Continual Learning
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Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts
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MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning
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Stepping VLMs onto the Court: Benchmarking Spatial Intelligence in Sports
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MedMASLab: A Unified Orchestration Framework for Benchmarking Multimodal Medical Multi-Agent Systems
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AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation
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WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition
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OptEMA: Adaptive Exponential Moving Average for Stochastic Optimization with Zero-Noise Optimality
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On the Structural Failure of Chamfer Distance in 3D Shape Optimization
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Fine-grained Motion Retrieval via Joint-Angle Motion Images and Token-Patch Late Interaction
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Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation
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Unsupervised Domain Adaptation with Target-Only Margin Disparity Discrepancy
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Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective
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Model Merging in the Era of Large Language Models: Methods, Applications, and Future Directions
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SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG
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Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand
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PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs
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Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models
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No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space
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Denoising the US Census: Succinct Block Hierarchical Regression
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The Confidence Gate Theorem: When Should Ranked Decision Systems Abstain?
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When Learning Rates Go Wrong: Early Structural Signals in PPO Actor-Critic
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Leveraging whole slide difficulty in Multiple Instance Learning to improve prostate cancer grading
