collaborators

14 papers

cs.RO2026

ForesightSafety-VLA: A Unified Diagnostic Safety Benchmark for Vision-Language-Action Models

Mingyang Lyu, Yinqian Sun, Yiyang Jia +5

In embodied intelligence, safety is a prerequisite for reliable robot deployment in the physical world. Current vision-language-action (VLA) models continue to advance toward gener…

cs.LG2026

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models

Mingyang Lyu, Yinqian Sun, Erliang Lin +4

Vision-Language-Action (VLA) models such as OpenVLA, Octo, and have shown strong generalization by leveraging large-scale demonstrations, yet their performance is still fund…

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

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…