arXiv:2603.15381v1 Announce Type: new Abstract: We critically examine the limitations of current AI models in achieving autonomous learning and propose…
arXiv:2603.15054v1 Announce Type: new Abstract: Effective communication is pivotal for addressing complex collaborative tasks in multi-agent reinforcement learning (MARL). Yet,…
arXiv:2603.15262v1 Announce Type: new Abstract: Modern e-commerce search is evolving to resolve complex user intents. While Large Language Models (LLMs)…
arXiv:2603.13318v1 Announce Type: cross Abstract: Ensuring that large language models (LLMs) remain both helpful and harmless poses a significant challenge:…
arXiv:2603.14869v1 Announce Type: new Abstract: Reliable photovoltaic (PV) power generation requires timely detection of module defects that may reduce energy…
arXiv:2603.12458v1 Announce Type: cross Abstract: While Large Language Models (LLMs) achieve expert-level performance on standard medical benchmarks through single-hop factual…
arXiv:2603.12500v1 Announce Type: cross Abstract: We present a Temporal Rule-Anchored Chain-of-Evidence (TRACE) on knowledge graphs for interpretable stock movement prediction…
arXiv:2603.12325v1 Announce Type: cross Abstract: Efficient exploration remains a central challenge in reinforcement learning, serving as a useful pretraining objective…
arXiv:2601.08697v4 Announce Type: replace-cross Abstract: As generative AI becomes embedded in higher education, it increasingly shapes how students complete academic…
arXiv:2603.11975v2 Announce Type: replace-cross Abstract: The rapid evolution of embodied agents has accelerated the deployment of household robots in real-world…
