Cs
E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models
Engineering Attack Vectors and Detecting Anomalies in Additive Manufacturing
Geometric Regularization in Mixture-of-Experts: The Disconnect Between Weights and Activations
Language as Mathematical Structure: Examining Semantic Field Theory Against Language Games
MACA: A Framework for Distilling Trustworthy LLMs into Efficient Retrievers
MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
Progressive Ideation using an Agentic AI Framework for Human-AI Co-Creation
RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
Robust Uncertainty Quantification for Factual Generation of Large Language Models
The Generative AI Paradox: GenAI and the Erosion of Trust, the Corrosion of Information Verification, and the Demise of Truth
When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents
A Modal Logic for Possibilistic Reasoning with Fuzzy Formal Contexts
AdaGReS:Adaptive Greedy Context Selection via Redundancy-Aware Scoring for Token-Budgeted RAG
AI-Driven Cloud Resource Optimization for Multi-Cluster Environments
AMAP Agentic Planning Technical Report
Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control
