Unlocking the Forgery Detection Potential of Vanilla MLLMs: A Novel Training-Free Pipeline
arXiv:2511.13442v2 Announce Type: replace-cross Abstract: With the rapid advancement of artificial intelligence-generated content (AIGC) technologies, including multimodal large language models…
The Second Law of Intelligence: Controlling Ethical Entropy in Autonomous Systems
arXiv:2511.10704v1 Announce Type: new Abstract: We propose that unconstrained artificial intelligence obeys a Second Law analogous to thermodynamics, where ethical…
Instella: Fully Open Language Models with Stellar Performance
arXiv:2511.10628v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have demonstrated remarkable performance across a wide range of tasks, yet…
Experiences from Benchmarking Vision-Language-Action Models for Robotic Manipulation
arXiv:2511.11298v1 Announce Type: cross Abstract: Foundation models applied in robotics, particularly textbf{Vision–Language–Action (VLA)} models, hold great promise for achieving general-purpose…
Building the Web for Agents: A Declarative Framework for Agent-Web Interaction
arXiv:2511.11287v1 Announce Type: cross Abstract: The increasing deployment of autonomous AI agents on the web is hampered by a fundamental…
Speech-Audio Compositional Attacks on Multimodal LLMs and Their Mitigation with SALMONN-Guard
arXiv:2511.10222v2 Announce Type: replace-cross Abstract: Recent progress in large language models (LLMs) has enabled understanding of both speech and non-speech…
An Efficient and Almost Optimal Solver for the Joint Routing-Assignment Problem via Partial JRA and Large-{alpha} Optimization
arXiv:2511.09563v1 Announce Type: new Abstract: The Joint Routing-Assignment (JRA) optimization problem simultaneously determines the assignment of items to placeholders and…
Enhancing Password Security Through a High-Accuracy Scoring Framework Using Random Forests
arXiv:2511.09492v2 Announce Type: replace-cross Abstract: Password security plays a crucial role in cybersecurity, yet traditional password strength meters, which rely…
MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models
arXiv:2511.10262v1 Announce Type: cross Abstract: Full-Duplex Speech Language Models (FD-SLMs) enable real-time, overlapping conversational interactions, offering a more dynamic user…