most citedHarnessing the Synergy between LLM Agents and Knowledge Graphs for Urban Socioeconomic Prediction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System

Jiazhao Zhang, Gengze Zhou, Hale Yin +32

Agentic navigation systems require a base navigation model whose observation strategy can be externally reconfigured at inference time, because instruction following, object search…

cs.RO2026

Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

Haoqi Yuan, Zhixuan Liang, Anzhe Chen +20

Foundation models in language and multimodality achieve strong generalization by aligning heterogeneous data under a unified formulation and training at scale. In this report, we i…

cs.RO2026

Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments

Qiuyue Wang, Mingsheng Li, Jian Guan +37

Embodied intelligence is often studied through specialized models for individual tasks such as manipulation or navigation, resulting in fragmented capabilities and limited generali…

cs.CL2024★ 1 cited

Harnessing the Synergy between LLM Agents and Knowledge Graphs for Urban Socioeconomic Prediction

Zhilun Zhou, Jingyang Fan, Yu Liu +3

Socioeconomic prediction aims to leverage various urban data to predict the socioeconomic indicators of regions such as population and commercial activity level, which plays an imp…

cs.DL2024

HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction

Qianyue Hao, Jingyang Fan, Fengli Xu +2

Citation networks are critical in modern science, and predicting which previous papers (candidates) will a new paper (query) cite is a critical problem. However, the roles of a pap…