4 citations · 8 across the 4 of their papers we have counts for
6 papers
Omni-RS: Unifying Multi-Task Understanding and Generation in Remote Sensing
Pan Yin. Shuai Yang, Pan Yin, Yuanhao Liu +8
Practical remote sensing applications often require both understanding and generation capabilities for the same geographic scene. However, most existing methods address either unde…
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…
A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving
Jialin Li, Shuqi Wu, Ning Wang
Re-Identification (ReID) is a critical technology in intelligent perception systems, especially within autonomous driving, where onboard cameras must identify pedestrians across vi…
PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models
Qian Zhang, Panfeng Chen, Jiali Li +6
The emergence of Large Language Models (LLMs) in the medical domain has stressed a compelling need for standard datasets to evaluate their question-answering (QA) performance. Alth…
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
Datao Tang, Xiangyong Cao, Xuan Wu +6
Remote sensing image object detection (RSIOD) aims to identify and locate specific objects within satellite or aerial imagery. However, there is a scarcity of labeled data in curre…
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
Yizhi LI, Ge Zhang, Xingwei Qu +16
The advancement of large language models (LLMs) has enhanced the ability to generalize across a wide range of unseen natural language processing (NLP) tasks through instruction-fol…