397 citations · 758 across the 6 of their papers we have counts for
6 papers
From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis
Yanyi Liu, Qingwen Yang, Tiezheng Guo +3
Hallucinations in Large Language Models (LLMs), defined as the generation of content inconsistent with facts or context, represent a core obstacle to their reliable deployment in c…
Augmented Runtime Collaboration for Self-Organizing Multi-Agent Systems: A Hybrid Bi-Criteria Routing Approach
Qingwen Yang, Feiyu Qu, Tiezheng Guo +2
LLM-based multi-agent systems have demonstrated significant capabilities across diverse domains. However, the task performance and efficiency are fundamentally constrained by their…
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering
Tiezheng Guo, Chen Wang, Yanyi Liu +7
Retrieving external knowledge and prompting large language models with relevant information is an effective paradigm to enhance the performance of question-answering tasks. Previou…
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph
Tiezheng Guo, Qingwen Yang, Chen Wang +5
Large language model (LLM) has achieved outstanding performance on various downstream tasks with its powerful natural language understanding and zero-shot capability, but LLM still…
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
Chengqi Lyu, Wenwei Zhang, Haian Huang +5
In this paper, we aim to design an efficient real-time object detector that exceeds the YOLO series and is easily extensible for many object recognition tasks such as instance segm…
MMRotate: A Rotated Object Detection Benchmark using PyTorch
Yue Zhou, Xue Yang, Gefan Zhang +9
We present an open-source toolbox, named MMRotate, which provides a coherent algorithm framework of training, inferring, and evaluation for the popular rotated object detection alg…