activity
20232026
most citedChatGPT v.s. Media Bias: A Comparative Study of GPT-3.5 and Fine-tuned Language Models

10 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents

Zheyuan Zhang, Zehao Wen, Alvin Zhang +4

For agents to learn continuously from interaction with the world at test time, they must be able to explore effectively, acquire new world knowledge and skills, retain relevant epi…

cs.CV2026

3D-Belief: Embodied Belief Inference via Generative 3D World Modeling

Yifan Yin, Zehao Wen, Suyu Ye +10

Recent advances in visual generative models have highlighted the promise of learning generative world models. However, most existing approaches frame world modeling as novel-view s…

cs.CV2024

Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner

Yuzhang Shang, Bingxin Xu, Weitai Kang +7

Advancements in Large Language Models (LLMs) inspire various strategies for integrating video modalities. A key approach is Video-LLMs, which incorporate an optimizable interface l…

cs.CL2024★ 10 cited

ChatGPT v.s. Media Bias: A Comparative Study of GPT-3.5 and Fine-tuned Language Models

Zehao Wen, Rabih Younes

In our rapidly evolving digital sphere, the ability to discern media bias becomes crucial as it can shape public sentiment and influence pivotal decisions. The advent of large lang…

cs.CV2023

AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes

Rao Fu, Zehao Wen, Zichen Liu +1

Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text into well-structured and textured indoor scenes at a house-scale. By prompting Large Lang…