A Variance-Reduced Cubic-Regularized Newton for Policy Optimization
arXiv:2507.10120v1 Announce Type: cross Abstract: In this paper, we study a second-order approach to policy optimization in reinforcement learning. Existing…
Dually Hierarchical Drift Adaptation for Online Configuration Performance Learning
arXiv:2507.08730v2 Announce Type: replace-cross Abstract: Modern configurable software systems need to learn models that correlate configuration and performance. However, when…
Think Clearly: Improving Reasoning via Redundant Token Pruning
arXiv:2507.08806v1 Announce Type: new Abstract: Recent large language models have shown promising capabilities in long-form reasoning, following structured chains of…
Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
arXiv:2507.07532v2 Announce Type: replace-cross Abstract: While Prover-Verifier Games (PVGs) offer a promising path toward verifiability in nonlinear classification models, they…
A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1
arXiv:2507.08621v1 Announce Type: cross Abstract: Argument mining (AM) is an interdisciplinary research field that integrates insights from logic, philosophy, linguistics,…
Adaptive Framework for Ambient Intelligence in Rehabilitation Assistance
arXiv:2507.08624v1 Announce Type: cross Abstract: This paper introduces the Ambient Intelligence Rehabilitation Support (AIRS) framework, an advanced artificial intelligence-based solution…
Probing Experts’ Perspectives on AI-Assisted Public Speaking Training
arXiv:2507.07930v2 Announce Type: replace-cross Abstract: Background: Public speaking is a vital professional skill, yet it remains a source of significant…
Human Creativity and AI
arXiv:2507.08001v1 Announce Type: new Abstract: With the advancement of science and technology, the philosophy of creativity has undergone significant reinterpretation.…