From the 2 of 15 linked papers with an AI index.
15 papers
Just-In-Time Scene Graph Growth: Combating Perceptual Saturation in Long-Horizon Robotics
Yue Chang, Rufeng Chen, Yifan Tian +7
The paper introduces JITOMA, a framework that builds 3D scene graphs on demand by using task-driven heatmaps and large language models to activate only relevant parts of the graph,…
Attribution-Guided Continual Learning for Large Language Models
Yazheng Liu, Yuxuan Wan, Rui Xu +3
The paper introduces an attribution-guided continual learning framework for large language models that uses Layer-wise Relevance Propagation to identify important parameters and li…
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
Yazheng Liu, Xi Zhang, Sihong Xie +1
Temporal graphs are ubiquitous in real-world applications and Temporal Graph Networks (TGNs) have achieved superior predictive accuracy. Understanding which historical events drive…
LH-AVLN: A Benchmark for Long-Horizon Audio-Visual-Language Navigation
Rufeng Chen, Yue Chang, Zili Shao +5
Embodied navigation is moving toward long-horizon missions, yet existing long-horizon benchmarks are largely acoustically silent, and audio-visual navigation tasks typically focus…
Deconstructing Spatial Complexity: Hierarchical Decomposition for LLM Spatial Reasoning
Yi Wang, Haojie Lu, Zhaofan Zhang +2
LLMs have shown remarkable proficiency in general language understanding and reasoning. However, they consistently underperform in spatial reasoning that severely limits their appl…
A Residual-Subspace Constraint Framework for Fourier Ptychographic Microscopy
Sui-peng Wang, Si-yi Xie, Chang-tao Cai +2
The reconstruction fidelity of computational optical imaging is fundamentally constrained by the model-reality gap, i.e., the inevitable discrepancy between idealized forward model…