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The Spillover Effects of Peer AI Rinsing on Corporate Green Innovation
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Self-Tuning Sparse Attention: Multi-Fidelity Hyperparameter Optimization for Transformer Acceleration
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Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning?
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From Topic to Transition Structure: Unsupervised Concept Discovery at Corpus Scale via Predictive Associative Memory
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The Impact of Corporate AI Washing on Farmers' Digital Financial Behavior Response -- An Analysis from the Perspective of Digital Financial Exclusion
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SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
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Multimodal Task Interference: A Benchmark and Analysis of History-Target Mismatch in Multimodal LLMs
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Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression
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R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation
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Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation
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AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI Agents
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Towards Noise-Resilient Quantum Multi-Armed and Stochastic Linear Bandits
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LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
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MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting
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AS2 -- Attention-Based Soft Answer Sets: An End-to-End Differentiable Neuro-Soft-Symbolic Reasoning Architecture
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MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
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SR-Nav: Spatial Relationships Matter for Zero-shot Object Goal Navigation
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Discounted Beta--Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards
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UT-ACA: Uncertainty-Triggered Adaptive Context Allocation for Long-Context Inference
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SODIUM: From Open Web Data to Queryable Databases
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Seeking Universal Shot Language Understanding Solutions
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POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization
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Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching
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HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
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Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images
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Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images
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AlignMamba-2: Enhancing Multimodal Fusion and Sentiment Analysis with Modality-Aware Mamba
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AcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action Models
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MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling
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Recolour What Matters: Region-Aware Colour Editing via Token-Level Diffusion
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GAIN: A Benchmark for Goal-Aligned Decision-Making of Large Language Models under Imperfect Norms
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Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding
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Do Post-Training Algorithms Actually Differ? A Controlled Study Across Model Scales Uncovers Scale-Dependent Ranking Inversions
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WASD: Locating Critical Neurons as Sufficient Conditions for Explaining and Controlling LLM Behavior
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UniFluids: Unified Neural Operator Learning with Conditional Flow-matching
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Do Vision Language Models Understand Human Engagement in Games?
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T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World
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The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices
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Precise Performance of Linear Denoisers in the Proportional Regime
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Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity
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Collaborative Adaptive Curriculum for Progressive Knowledge Distillation
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TexEditor: Structure-Preserving Text-Driven Texture Editing
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EntropyCache: Decoded Token Entropy Guided KV Caching for Diffusion Language Models
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AIMER: Calibration-Free Task-Agnostic MoE Pruning
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FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction
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Cross-Domain Demo-to-Code via Neurosymbolic Counterfactual Reasoning
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NymeriaPlus: Enriching Nymeria Dataset with Additional Annotations and Data
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Recovering Sparse Neural Connectivity from Partial Measurements: A Covariance-Based Approach with Granger-Causality Refinement
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Efficient Video Diffusion with Sparse Information Transmission for Video Compression
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HOMEY: Heuristic Object Masking with Enhanced YOLO for Property Insurance Risk Detection
