Large-Scale Portfolio Optimization Problem Under Cardinality Constraint With Enhanced Multi-Objective Evolutionary Algorithms
arXiv:2607.09566v1 Announce Type: cross Abstract: Decision-making is posing an increasingly formidable challenge to investors because of the growing number of…
Interval Certifications for Multilayered Perceptrons via Lattice Traversal
arXiv:2607.08773v1 Announce Type: new Abstract: In this work we present a rigorous theoretical framework to a foundational problem of AI…
Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
arXiv:2607.07740v2 Announce Type: replace-cross Abstract: Modern LLMs are increasingly deployed in long-context applications such as retrieval-augmented generation, repository-level coding, and…
When Routes Run Out: Adversarial Co-Learning and Explainable Robustness in Quantum Repeater Networks
arXiv:2607.09378v1 Announce Type: cross Abstract: We study an adversarial bandit problem for entanglement-based quantum-network routing over a modest graph corpus.…
Diversifying to Verify: When Task-Equivalent Programs Differ in Verifiability
arXiv:2607.09366v1 Announce Type: cross Abstract: Program verification is crucial for software correctness, but producing fully verified programs remains difficult in…
Riemannian Geometry for Pre-trained Language Model Embeddings
arXiv:2607.07047v2 Announce Type: replace-cross Abstract: Understanding the geometric structure of pre-trained language model embeddings matters for interpretability and safety. We…
Context Graphs for Proactive Enterprise Agents
arXiv:2607.07721v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) and agentic frameworks have advanced enterprise AI considerably, yet agents remain fundamentally…
Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report
arXiv:2607.07370v2 Announce Type: replace-cross Abstract: The motion controller is one of the most fundamental modules in embodied intelligence systems. Driven…
Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles
arXiv:2607.08373v1 Announce Type: cross Abstract: Connected vehicles are autonomous cyber-physical systems whose behavior must be continuously monitored during operation to…
On the Role of Conversational Timing in Synthetic Training Data for ASR
arXiv:2607.08371v1 Announce Type: cross Abstract: Synthetic multi-speaker conversations are widely used to train conversational automatic speech recognition (ASR) systems, but…