Summary of Unibevfusion: Unified Radar-vision Bevfusion For 3d Object Detection, by Haocheng Zhao et al.
UniBEVFusion: Unified Radar-Vision BEVFusion for 3D Object Detectionby Haocheng Zhao, Runwei Guan, Taoyu Wu, Ka…
Summary of Do Large Language Models Have Problem-solving Capability Under Incomplete Information Scenarios?, by Yuyan Chen et al.
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?by Yuyan Chen, Tianhao Yu,…
Summary of Vlm’s Eye Examination: Instruct and Inspect Visual Competency Of Vision Language Models, by Nam Hyeon-woo et al.
VLM’s Eye Examination: Instruct and Inspect Visual Competency of Vision Language Modelsby Nam Hyeon-Woo, Moon…
Summary of Samedge: An Edge-cloud Video Analytics Architecture For the Segment Anything Model, by Rui Lu et al.
SAMEdge: An Edge-cloud Video Analytics Architecture for the Segment Anything Modelby Rui Lu, Siping Shi,…
Summary of Choose the Final Translation From Nmt and Llm Hypotheses Using Mbr Decoding: Hw-tsc’s Submission to the Wmt24 General Mt Shared Task, by Zhanglin Wu et al.
Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC’s Submission to…
Summary of Benchmarking Edge Ai Platforms For High-performance Ml Inference, by Rakshith Jayanth et al.
Benchmarking Edge AI Platforms for High-Performance ML Inferenceby Rakshith Jayanth, Neelesh Gupta, Viktor PrasannaFirst submitted…
Summary of Mobilevlm: a Vision-language Model For Better Intra- and Inter-ui Understanding, by Qinzhuo Wu et al.
MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understandingby Qinzhuo Wu, Weikai Xu, Wei…
Summary of Past Meets Present: Creating Historical Analogy with Large Language Models, by Nianqi Li et al.
Past Meets Present: Creating Historical Analogy with Large Language Modelsby Nianqi Li, Siyu Yuan, Jiangjie…
Summary of Toolplanner: a Tool Augmented Llm For Multi Granularity Instructions with Path Planning and Feedback, by Qinzhuo Wu et al.
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedbackby Qinzhuo…
Summary of Explainable and Human-grounded Ai For Decision Support Systems: the Theory Of Epistemic Quasi-partnerships, by John Dorsch and Maximilian Moll
Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnershipsby John Dorsch,…