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20242026
most citedTowards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

18 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ABot-Earth 0.5: Generative 3D Earth Model

Ming Qian, Tianjian Ouyang, Mingchao Sun +25

We present ABot-Earth 0.5, a generative 3D framework designed to synthesize vast, seamless 3D environments from ubiquitous, geospatially referenced satellite imagery. To achieve th…

cs.AI2025

CityLens: Evaluating Large Vision-Language Models for Urban Socioeconomic Sensing

Tianhui Liu, Hetian Pang, Xin Zhang +5

Understanding urban socioeconomic conditions through visual data is a challenging yet essential task for sustainable urban development and policy planning. In this work, we introdu…

cs.AI2025★ 18 cited

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Fengli Xu, Qianyue Hao, Zefang Zong +17

Language has long been conceived as an essential tool for human reasoning. The breakthrough of Large Language Models (LLMs) has sparked significant research interest in leveraging…

cs.RO2024

LCSim: A Large-Scale Controllable Traffic Simulator

Yuheng Zhang, Tianjian Ouyang, Fudan Yu +5

With the rapid growth of urban transportation and the continuous progress in autonomous driving, a demand for robust benchmarking autonomous driving algorithms has emerged, calling…

cs.AI2024★ 3 cited

CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

Jie Feng, Jun Zhang, Tianhui Liu +6

As large language models (LLMs) continue to advance and gain widespread use, establishing systematic and reliable evaluation methodologies for LLMs and vision-language models (VLMs…