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20242026
most citedUrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces

17 citations · 22 across the 14 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CL2025★ 3 cited

Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents

Fanhang Man, Huandong Wang, Jianjie Fang +4

User sentiment on social media reveals the underlying social trends, crises, and needs. Researchers have analyzed users' past messages to trace the evolution of sentiments and reco…

cs.AI2025

Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Baining Zhao, Ziyou Wang, Jianjie Fang +7

Humans can perceive and reason about spatial relationships from sequential visual observations, such as egocentric video streams. However, how pretrained models acquire such abilit…

cs.CV2025

The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? A Bias-Controlled Study

Weichen Zhang, Ruiying Peng, Xin Zeng +9

3D Large Language Models (LLMs) leveraging spatial information in point clouds for 3D spatial reasoning attract great attention. Despite some promising results, the advantages of p…

cs.CV2025★ 17 cited

UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces

Baining Zhao, Jianjie Fang, Zichao Dai +8

Large multimodal models exhibit remarkable intelligence, yet their embodied cognitive abilities during motion in open-ended urban 3D space remain to be explored. We introduce a ben…

cs.CV2025

Open3D-VQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space

Weichen Zhang, Zile Zhou, Xin Zeng +7

Spatial reasoning is a fundamental capability of multimodal large language models (MLLMs), yet their performance in open aerial environments remains underexplored. In this work, we…