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20212024
most citedVideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

4 citations · 10 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2024

ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning

Yuxuan Wang, Alan Yuille, Zhuowan Li +1

Compositional visual reasoning methods, which translate a complex query into a structured composition of feasible visual tasks, have exhibited a strong potential in complicated mul…

cs.CV2024★ 4 cited

VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Yuxuan Wang, Yueqian Wang, Dongyan Zhao +2

Recent advancements in Multimodal Large Language Models (MLLMs) have extended their capabilities to video understanding. Yet, these models are often plagued by "hallucinations", wh…

cs.CV2024★ 1 cited

Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge

Yuxuan Wang, Yueqian Wang, Pengfei Wu +4

Despite progress in multimodal large language models (MLLMs), the challenge of interpreting long-form videos in response to linguistic queries persists, largely due to the ineffici…

cs.CL2023★ 1 cited

DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning

Hengli Li, Song-Chun Zhu, Zilong Zheng

Pragmatic reasoning plays a pivotal role in deciphering implicit meanings that frequently arise in real-life conversations and is essential for the development of communicative soc…

cs.CV2023

MoviePuzzle: Visual Narrative Reasoning through Multimodal Order Learning

Jianghui Wang, Yuxuan Wang, Dongyan Zhao +1

We introduce MoviePuzzle, a novel challenge that targets visual narrative reasoning and holistic movie understanding. Despite the notable progress that has been witnessed in the re…

cs.CL2023

Shuo Wen Jie Zi: Rethinking Dictionaries and Glyphs for Chinese Language Pre-training

Yuxuan Wang, Jianghui Wang, Dongyan Zhao +1

We introduce CDBERT, a new learning paradigm that enhances the semantics understanding ability of the Chinese PLMs with dictionary knowledge and structure of Chinese characters. We…