6 papers
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…
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…
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…