Papers by Jianjie Fang

2 papers
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces (2025.acl-long)

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Challenge: Large multimodal models exhibit remarkable intelligence, yet their embodied cognitive abilities during motion in open-ended urban aerial spaces remain to be explored.
Approach: They propose a benchmark to evaluate whether large multimodal models can process continuous first-person visual observations like humans.
Outcome: The proposed model can process first-person visual observations like humans, enabling recall, perception, reasoning, and navigation.
Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents (2025.acl-long)

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Challenge: Existing methods to predict sentiments on social media are limited and do not consider reciprocal influences among social media users.
Approach: They propose a multi-perspective role-playing framework to simulate human response processes to extract sentiment-related features from social media messages.
Outcome: The proposed model improves sentiment forecasting at microscopic and macroscopic levels.

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