1 citations · 1 across the 6 of their papers we have counts for
6 papers
Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents
Chunhui Zhang, Yuxuan Wang, Aoyang Qin +4
Current embodied agents are often limited to passive instruction-following or reactive need-satisfaction, lacking a stable, high-order value framework essential for long-term, self…
PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video Generation
Tianxin Xie, Wentao Lei, Kai Jiang +27
Text-to-audio-video (T2AV) generation is central to applications such as filmmaking and world modeling. However, current models often fail to produce physically plausible sounds. P…
Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
Yi-Long Lu, Chunhui Zhang, Jiajun Song +2
Theory of Mind (ToM), the ability to attribute mental states to others, is fundamental for human social intelligence and a critical capability for advanced Artificial Intelligence.…
Systematic Bias in Large Language Models: Discrepant Response Patterns in Binary vs. Continuous Judgment Tasks
Yi-Long Lu, Chunhui Zhang, Wei Wang
Large Language Models (LLMs) are increasingly used in tasks such as psychological text analysis and decision-making in automated workflows. However, their reliability remains a con…
Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities
Junqi Wang, Chunhui Zhang, Jiapeng Li +6
Facing the current debate on whether Large Language Models (LLMs) attain near-human intelligence levels (Mitchell & Krakauer, 2023; Bubeck et al., 2023; Kosinski, 2023; Shiffrin &…
When Emotional Stimuli meet Prompt Designing: An Auto-Prompt Graphical Paradigm
Chenggian Ma, Xiangyu Zhao, Chunhui Zhang +2
With the development of Large Language Models (LLM), numerous prompts have been proposed, each with a rich set of features and their own merits. This paper summarizes the prompt wo…