5 citations · 6 across the 6 of their papers we have counts for
6 papers
SimCT: A Simple Consistency Test Protocol in LLMs Development Lifecycle
Fufangchen Zhao, Guoqiang Jin, Rui Zhao +2
In this work, we report our efforts to advance the standard operation procedure of developing Large Language Models (LLMs) or LLMs-based systems or services in industry. We introdu…
Consistency Matters: Explore LLMs Consistency From a Black-Box Perspective
Fufangchen Zhao, Guoqiang Jin, Jiaheng Huang +2
Nowadays both commercial and open-source academic LLM have become the mainstream models of NLP. However, there is still a lack of research on LLM consistency, meaning that througho…
SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers
Guoqiang Jin, Fan Yang, Mingshan Sun +7
Self-supervised pre-training and transformer-based networks have significantly improved the performance of object detection. However, most of the current self-supervised object det…
Geo6D: Geometric Constraints Learning for 6D Pose Estimation
Jianqiu Chen, Mingshan Sun, Ye Zheng +7
Numerous 6D pose estimation methods have been proposed that employ end-to-end regression to directly estimate the target pose parameters. Since the visible features of objects are…
Uni6Dv2: Noise Elimination for 6D Pose Estimation
Mingshan Sun, Ye Zheng, Tianpeng Bao +5
Uni6D is the first 6D pose estimation approach to employ a unified backbone network to extract features from both RGB and depth images. We discover that the principal reasons of Un…
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Yuchao Wang, Haochen Wang, Yujun Shen +6
The crux of semi-supervised semantic segmentation is to assign adequate pseudo-labels to the pixels of unlabeled images. A common practice is to select the highly confident predict…