6 papers
RetroHolmes: When Semantic Plausibility Fails Retrospective Physical Process Reasoning
Ruoxuan Zhang, Qiyun Zheng, Siyu Wu +13
Vision-Language Models (VLMs) are widely used for visual understanding, yet current evaluation protocols fail to assess whether these capabilities are grounded in physical reasonin…
MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
Ruoxuan Zhang, Qiaoqiao Wan, Zhengguang Wang +4
Theory-of-Mind (ToM) reasoning enables embodied agents to understand human beliefs, goals, and intentions, but existing benchmarks mainly evaluate this ability through offline ques…
Aligning Progress and Feasibility: A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM Agents
Bin Wen, Ruoxuan Zhang, Yang Chen +2
Large language models (LLMs) have demonstrated strong potential in long-horizon decision-making tasks, such as embodied manipulation and web interaction. However, agents frequently…
PinpointQA: A Benchmark for Small Object-Centric Spatial Understanding in Indoor Videos
Zhiyu Zhou, Peilin Liu, Ruoxuan Zhang +4
Reliable embodied interaction in indoor environments requires agents to precisely localize small everyday objects from visual observations. Yet this fundamental capability remains…
Beyond Success: Refining Elegant Robot Manipulation from Mixed-Quality Data via Just-in-Time Intervention
Yanbo Mao, Jianlong Fu, Ruoxuan Zhang +2
Vision-Language-Action (VLA) models have enabled notable progress in general-purpose robotic manipulation, yet their learned policies often exhibit variable execution quality. We a…
MindPower: Enabling Theory-of-Mind Reasoning in VLM-based Embodied Agents
Ruoxuan Zhang, Qiyun Zheng, Zhiyu Zhou +7
Theory of Mind (ToM) refers to the ability to infer others' mental states, such as beliefs, desires, and intentions. Current vision-language embodied agents lack ToM-based decision…