Weierstrass Positional Encoding for Vision Transformers
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Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling
Defining AI Fatigue in Academic Contexts: Dimensions, Indicators, and a Stage-Based Model…
Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning
AI Security Research Should Better Incentivize Defense Research
Tensor Cache: Eviction-conditioned Associative Memory for Transformers
Multimodal Distribution Matching for Vision-Language Dataset Distillation
ProtDBench: A Unified Benchmark of Protein Binder Design and Evaluation
DrawVideo: Generating Long Video from Storyboard Keyframe Sketches
Cost-Effective Model Evaluation with Meta-Learning
VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation
Adversarial Vulnerability Under Temporal Concept Drift: A Longitudinal Study of Android M…
Foundation Protocol: A Coordination Layer for Agentic Society
Does Your Wildfire Prediction Model Actually Work, or Just Score Well?
Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models
Graph Alignment Topology as an Inductive Bias for Grounding Detection
EVE-Agent: Evidence-Verifiable Self-Evolving Agents
Mediative Fuzzy Logic: From Type-1 Foundations to Type-2, Type-3 and Quantum Extensions
STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction
A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Colle…
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native …
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video…
DualMem: Bypassing the Objectness Bottleneck for Calibrated Unknown-Stream Filtering in O…
RMA: an Agentic System for Research-Level Mathematical Problems
NeuroNL2LTL: A Neurosymbolic Framework for Natural Language Translation of Linear Tempora…
How Mobile World Model Guides GUI Agents?
Towards Trustworthy and Explainable AI for Perception Models: From Concept to Prototype V…
Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Ap…
BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems