43 citations · 63 across the 28 of their papers we have counts for
13 papers · 1 filter
Visual Distraction Undermines Moral Reasoning in Vision-Language Models
Xinyi Yang, Chenheng Xu, Weijun Hong +4
Moral reasoning is fundamental to safe Artificial Intelligence (AI), yet ensuring its consistency across modalities becomes critical as AI systems evolve from text-based assistants…
BotzoneBench: Scalable LLM Evaluation via Graded AI Anchors
Lingfeng Li, Yunlong Lu, Yuefei Zhang +7
Large Language Models (LLMs) are increasingly deployed in interactive environments requiring strategic decision-making, yet systematic evaluation of these capabilities remains chal…
Inferring the Unspoken: Aligning Embodied Agents with Implicit Preferences
Manjie Xu, Xinyi Yang, Wei Liang +2
Natural-language instructions rarely specify every detail required for embodied action. An agent asked to ``prepare an apple,'' for example, must still determine whether to wash or…
Proposing and solving olympiad geometry with guided tree search
Chi Zhang, Jiajun Song, Siyu Li +5
Mathematics olympiads are prestigious competitions, with problem proposing and solving highly honored. Building artificial intelligence that proposes and solves olympiads presents…
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 &…
I-PHYRE: Interactive Physical Reasoning
Shiqian Li, Kewen Wu, Chi Zhang +1
Current evaluation protocols predominantly assess physical reasoning in stationary scenes, creating a gap in evaluating agents' abilities to interact with dynamic events. While con…
Active Reasoning in an Open-World Environment
Manjie Xu, Guangyuan Jiang, Wei Liang +2
Recent advances in vision-language learning have achieved notable success on complete-information question-answering datasets through the integration of extensive world knowledge.…
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
Bo Dai, Linge Wang, Baoxiong Jia +4
Intuitive physics is pivotal for human understanding of the physical world, enabling prediction and interpretation of events even in infancy. Nonetheless, replicating this level of…
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts
Yu-Zhe Shi, Manjie Xu, Wenjuan Han +1
If scientific discovery is one of the main driving forces of human progress, insight is the fuel for the engine, which has long attracted behavior-level research to understand and…
Interactive Visual Reasoning under Uncertainty
Manjie Xu, Guangyuan Jiang, Wei Liang +2
One of the fundamental cognitive abilities of humans is to quickly resolve uncertainty by generating hypotheses and testing them via active trials. Encountering a novel phenomenon…
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Chi Zhang, Sirui Xie, Baoxiong Jia +3
Is intelligence realized by connectionist or classicist? While connectionist approaches have achieved superhuman performance, there has been growing evidence that such task-specifi…
Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene
Qi Wu, Cheng-Ju Wu, Yixin Zhu +1
Human-robot collaboration is an essential research topic in artificial intelligence (AI), enabling researchers to devise cognitive AI systems and affords an intuitive means for use…
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Chi Zhang, Baoxiong Jia, Song-Chun Zhu +1
Spatial-temporal reasoning is a challenging task in Artificial Intelligence (AI) due to its demanding but unique nature: a theoretic requirement on representing and reasoning based…