Summary of Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets, by Tianyi Liu et al.
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targetsby Tianyi Liu, Zhaorui Tan, Kaizhu…
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targetsby Tianyi Liu, Zhaorui Tan, Kaizhu…
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MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needsby Xianhao Yu, Jiaqi…
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agentby Junkai Zhou, Liang Pang,…
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluationby Yu Li, Shenyu Zhang, Rui…
IVLMap: Instance-Aware Visual Language Grounding for Consumer Robot Navigationby Jiacui Huang, Hongtao Zhang, Mingbo Zhao,…
Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Modelsby Hyunbyung Park, Sukyung Lee,…
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrievalby Shengjie Ma, Chong Chen,…