activity
20202025
most citedEmbodied Task Planning with Large Language Models

18 citations · 40 across the 23 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.CV2025

IGL-Nav: Incremental 3D Gaussian Localization for Image-goal Navigation

Wenxuan Guo, Xiuwei Xu, Hang Yin +4

Visual navigation with an image as goal is a fundamental and challenging problem. Conventional methods either rely on end-to-end RL learning or modular-based policy with topologica…

cs.CV2025

PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation

Yang Chen, Yueqi Duan, Haowen Sun +3

In this paper, we propose view-dependent projection (VDP) to facilitate point cloud segmentation, designing efficient 3D-to-2D mapping that dynamically adapts to the spatial geomet…

cs.CV2025

EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models

Yinan Liang, Ziwei Wang, Xiuwei Xu +2

While multimodal large language models demonstrate strong performance in complex reasoning tasks, they pose significant challenges related to model complexity during deployment, es…

cs.CV2025

UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

Hang Yin, Xiuwei Xu, Lingqing Zhao +3

In this paper, we propose a general framework for universal zero-shot goal-oriented navigation. Existing zero-shot methods build inference framework upon large language models (LLM…

cs.CV2025

TSP3D: Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding

Wenxuan Guo, Xiuwei Xu, Ziwei Wang +3

In this paper, we propose an efficient multi-level convolution architecture for 3D visual grounding. Conventional methods are difficult to meet the requirements of real-time infere…

cs.CL2025★ 2 cited

LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction

Ziwei Wang, Jie Zhou, Qin Chen +5

The knowledge tracing (KT) problem is an extremely important topic in personalized education, which aims to predict whether students can correctly answer the next question based on…