arXiv:2603.18718v2 Announce Type: replace Abstract: Memory-augmented LLM agents maintain external memory banks to support long-horizon interaction, yet…
Tag: AI
MemCoRe: Recovering Evidence from Progressively Compressed Factual Knowledge for Agent Memory
arXiv:2602.07885v3 Announce Type: replace Abstract: Memory systems enable LLM agents to consolidate and retrieve relevant evidence from the factual…
RL-VLA$^3$: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training
arXiv:2602.05765v3 Announce Type: replace Abstract: Reinforcement learning (RL) has emerged as a critical paradigm for post-training…
OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Heuristic Design
arXiv:2602.13769v4 Announce Type: replace Abstract: Automating heuristic design in complex, experiment-driven domains requires more than iterative…
The Struggle Between Continuation and Refusal: A Mechanistic Analysis of the Continuation-Triggered Jailbreak in LLMs
arXiv:2603.08234v2 Announce Type: replace Abstract: With the rapid advancement of large language models (LLMs), the safety of LLMs has become a critical…
A Survey on Semantic Modeling for Building Energy Management
arXiv:2404.11716v4 Announce Type: replace Abstract: Building Energy Management (BEM) is central to reducing energy use and CO2 emissions in the building…
Quality-diversity in dissimilarity spaces
arXiv:2211.12337v4 Announce Type: replace Abstract: The theory of magnitude provides a mathematical framework for quantifying and maximizing diversity. We…
Achieving Olympiad-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
arXiv:2512.10534v5 Announce Type: replace Abstract: Large language model (LLM) agents exhibit strong mathematical problem-solving abilities and can even…
Active Inference for an Intelligent Agent in Autonomous Reconnaissance Missions
arXiv:2510.17450v2 Announce Type: replace Abstract: We develop an active inference route-planning method for the autonomous control of intelligent agents.…
Procedural Content Generation via Generative Artificial Intelligence
arXiv:2407.09013v3 Announce Type: replace Abstract: The attempt to utilize machine learning in procedural content generation (PCG) has been made in the…