Cs
Adaptive Hybrid Optimizer based Framework for Lumpy Skin Disease Identification
Beyond Homophily: Community Search on Heterophilic Graphs
Clinical Knowledge Graph Construction and Evaluation with Multi-LLMs via Retrieval-Augmented Generation
CNC-TP: Classifier Nominal Concept Based on Top-Pertinent Attributes
Code for Machines, Not Just Humans: Quantifying AI-Friendliness with Code Health Metrics
CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
DARC: Drum accompaniment generation with fine-grained rhythm control
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations
DéjàQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems
Enhancing Object Detection with Privileged Information: A Model-Agnostic Teacher-Student Approach
Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting
Evaluating Feature Dependent Noise in Preference-based Reinforcement Learning
EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning
Exploring Approaches for Detecting Memorization of Recommender System Data in Large Language Models
Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations
FormationEval, an open multiple-choice benchmark for petroleum geoscience
Higher-Order Action Regularization in Deep Reinforcement Learning: From Continuous Control to Building Energy Management
