38 citations · 55 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 10 cited
Long-form factuality in large language models
Jerry Wei, Chengrun Yang, Xinying Song +9
Large language models (LLMs) often generate content that contains factual errors when responding to fact-seeking prompts on open-ended topics. To benchmark a model's long-form fact…
cs.CL2023★ 38 cited
Large Language Models Cannot Self-Correct Reasoning Yet
Jie Huang, Xinyun Chen, Swaroop Mishra +4
Large Language Models (LLMs) have emerged as a groundbreaking technology with their unparalleled text generation capabilities across various applications. Nevertheless, concerns pe…
cs.CV2022★ 7 cited
DETR++: Taming Your Multi-Scale Detection Transformer
Chi Zhang, Lijuan Liu, Xiaoxue Zang +4
Convolutional Neural Networks (CNN) have dominated the field of detection ever since the success of AlexNet in ImageNet classification [12]. With the sweeping reform of Transformer…