Summary of Enhancing Contextual Understanding in Large Language Models Through Contrastive Decoding, by Zheng Zhao et al.
Enhancing Contextual Understanding in Large Language Models through Contrastive Decodingby Zheng Zhao, Emilio Monti, Jens…
Summary of Grounding Realizable Entities, by Michael Rabenberg et al.
Grounding Realizable Entitiesby Michael Rabenberg, Carter Benson, Federico Donato, Yongqun He, Anthony Huffman, Shane Babcock,…
Summary of Grounded Knowledge-enhanced Medical Vision-language Pre-training For Chest X-ray, by Qiao Deng et al.
Grounded Knowledge-Enhanced Medical Vision-Language Pre-training for Chest X-Rayby Qiao Deng, Zhongzhen Huang, Yunqi Wang, Zhichuan…
Summary of Rethinking 3d Dense Caption and Visual Grounding in a Unified Framework Through Prompt-based Localization, by Yongdong Luo et al.
Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localizationby Yongdong…
Summary of Minicheck: Efficient Fact-checking Of Llms on Grounding Documents, by Liyan Tang et al.
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documentsby Liyan Tang, Philippe Laban, Greg DurrettFirst submitted…
Summary of Osworld: Benchmarking Multimodal Agents For Open-ended Tasks in Real Computer Environments, by Tianbao Xie et al.
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentsby Tianbao Xie, Danyang Zhang,…
Summary of Visualwebbench: How Far Have Multimodal Llms Evolved in Web Page Understanding and Grounding?, by Junpeng Liu et al.
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?by Junpeng Liu,…
Summary of Self-explainable Affordance Learning with Embodied Caption, by Zhipeng Zhang et al.
Self-Explainable Affordance Learning with Embodied Captionby Zhipeng Zhang, Zhimin Wei, Guolei Sun, Peng Wang, Luc…
Summary of Your Co-workers Matter: Evaluating Collaborative Capabilities Of Language Models in Blocks World, by Guande Wu et al.
Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks Worldby Guande Wu, Chen…
Summary of Annolid: Annotate, Segment, and Track Anything You Need, by Chen Yang et al.
Annolid: Annotate, Segment, and Track Anything You Needby Chen Yang, Thomas A. ClelandFirst submitted to…