activity
20192026
most citedBrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation

87 citations · 147 across the 21 of their papers we have counts for

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9 papers · 1 filter

cs.AI2026

MediSkill-Evo: Process-Constrained Self-Evolution for Evidence-Grounded Clinical Interaction

Ruoyu Wu, Shenfu Xie, Yinqian Sun +2

Interactive clinical agents operate under partial observability, so reliable care depends on reaching the correct diagnosis through evidence-grounded, safe interactions. Yet existi…

cs.AI2026

SciRisk-Bench: A Risk-Dimension-Aware Benchmark for AI4Science Safety

Linghao Feng, Yinqian Sun, Dongqi Liang +8

Large language models (LLMs) are increasingly embedded in AI for Science (AI4Science) workflows, from scientific question answering and literature analysis to laboratory planning a…

cs.AI2026

ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI

Haibo Tong, Feifei Zhao, Linghao Feng +18

Rapidly evolving AI exhibits increasingly strong autonomy and goal-directed capabilities, accompanied by derivative systemic risks that are more unpredictable, difficult to control…

cs.AI2026

CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models

Haibo Tong, Zeyang Yue, Feifei Zhao +6

Whether Large Language Models (LLMs) truly possess human-like Theory of Mind (ToM) capabilities has garnered increasing attention. However, existing benchmarks remain largely restr…

cs.AI2025

SafeMind: Benchmarking and Mitigating Safety Risks in Embodied LLM Agents

Ruolin Chen, Yinqian Sun, Jihang Wang +3

Embodied agents powered by large language models (LLMs) inherit advanced planning capabilities; however, their direct interaction with the physical world exposes them to safety vul…

cs.AI2025

Continual Learning of Multiple Cognitive Functions with Brain-inspired Temporal Development Mechanism

Bing Han, Feifei Zhao, Yinqian Sun +2

Cognitive functions in current artificial intelligence networks are tied to the exponential increase in network scale, whereas the human brain can continuously learn hundreds of co…

cs.AI2025

Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind

Haibo Tong, Enmeng Lu, Yinqian Sun +4

With the widespread application of Artificial Intelligence (AI) in human society, enabling AI to autonomously align with human values has become a pressing issue to ensure its sust…

cs.AI2024

Building Altruistic and Moral AI Agent with Brain-inspired Emotional Empathy Mechanisms

Feifei Zhao, Hui Feng, Haibo Tong +5

As AI closely interacts with human society, it is crucial to ensure that its behavior is safe, altruistic, and aligned with human ethical and moral values. However, existing resear…

cs.AI2024★ 1 cited

Brain-inspired and Self-based Artificial Intelligence

Yi Zeng, Feifei Zhao, Yuxuan Zhao +17

The question "Can machines think?" and the Turing Test to assess whether machines could achieve human-level intelligence is one of the roots of AI. With the philosophical argument…