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20232026
most citedLMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

32 citations · 35 across the 13 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Video-HopChain: Multi-Hop Questions and Confidence-Gated Exploration for Video Reasoning Models

Trung Nguyen Quang, Yuhao Dong, Shuo Sun +4

HopChain has shown on still images that multi-hop data synthesis improves vision-language reasoning, because long chain-of-thought reasoning exposes errors that compound across ste…

cs.CV2026

HumanCLAW: Can Vision-Language Models Act Through a Body?

Li Siyao, Jiawei Gu, Shuai Liu +15

Evaluating whether a vision-language model (VLM) can act through a physical body is challenging. The outcome of an action couples the VLM's decision with motor control. When a task…

cs.CV2026

FileGram: Grounding Agent Personalization in File-System Behavioral Traces

Shuai Liu, Shulin Tian, Kairui Hu +6

Coworking AI agents operating within local file systems are rapidly emerging as a paradigm in human-AI interaction; however, effective personalization remains limited by severe dat…

cs.CV2026

Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance

Xinrong Chen, Xu Chu, Yingmin Qiu +8

Large Vision-Language Models (LVLMs) can reason from image-text inputs and perform well in various multimodal tasks. Despite this success, they are affected by language priors and…

cs.CV2026

Demo-ICL: In-Context Learning for Procedural Video Knowledge Acquisition

Yuhao Dong, Shulin Tian, Shuai Liu +6

Despite the growing video understanding capabilities of recent Multimodal Large Language Models (MLLMs), existing video benchmarks primarily assess understanding based on models' s…

cs.CV2025

XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark

Shuai Liu, Youmeng Li, Jizeng Wei

Document Reading Order Recovery is a fundamental task in document image understanding, playing a pivotal role in enhancing Retrieval-Augmented Generation (RAG) and serving as a cri…

cs.CV2024

4D Panoptic Scene Graph Generation

Jingkang Yang, Jun Cen, Wenxuan Peng +6

We are living in a three-dimensional space while moving forward through a fourth dimension: time. To allow artificial intelligence to develop a comprehensive understanding of such…

cs.CV2023★ 3 cited

Octopus: Embodied Vision-Language Programmer from Environmental Feedback

Jingkang Yang, Yuhao Dong, Shuai Liu +8

Large vision-language models (VLMs) have achieved substantial progress in multimodal perception and reasoning. When integrated into an embodied agent, existing embodied VLM works e…