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QAROO: AI-Driven Online Task Offloading for Energy-Efficient and Sustainable MEC Networks In modern wireless networks, small devices like sensors often strug...
JURY-RL: Votes Propose, Proofs Dispose for Label-Free RLVR Reinforcement learning with verifiable rewards (RLVR) is a powerful way to improve the reasoning c...
Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents This paper addresses the growing "governance gap" in autonomous AI.
Toward Scalable Terminal Task Synthesis via Skill Graphs Terminal agents—AI models capable of executing commands in a computer terminal—are becoming increasi...
Large Language Models (LLMs) are increasingly used for complex reasoning tasks by utilizing "test-time scaling" (TTS), a process where the model generates ad...
The Nonverbal Syntax Framework: An Evidence-Based Tiered System for Inferring Learner States from Observable Behavioral Cues introduces a structured method f...
Multi-action Tangled Program Graphs for Multi-task Reinforcement Learning with Continuous Control introduces a new approach to solving complex, multi-task re...
OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction Deploying multi-agent systems (MAS) in complex industrial settings...
ADEMA: A Knowledge-State Orchestration Architecture for Long-Horizon Knowledge Synthesis with LLMAgents Long-horizon tasks—complex projects that require an A...
DATAREEL: Automated Data-Driven Video Story Generation with Animations Data videos—short, animated clips that combine charts with narration—are essential too...
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