Results 161 to 170 of about 8,202,971 (220)

Research on cutting keypoint detection of chicken carcasses based on improved YOLO11-Pose. [PDF]

Poult Sci
Chen Y, Lu Y, Xu C, Zhu Z, Wen K, Fu D, Hu Z, Liu Z, Ai H.   +8 more
europepmc   +1 more source

A novel hybrid model for emotion detection in text through sequential and transformer-based approaches: LSTM enhanced RoBERTa (LER). [PDF]

Sci Rep
Khan B, Usman M, Binsawad M.
europepmc   +1 more source

Author Correction: Single-cell multi-omic detection of DNA methylation and histone modifications reconstructs the dynamics of epigenomic maintenance. [PDF]

Nat Methods
Geisenberger C, van den Berg J, van Batenburg V, de Barbanson B, Lyubimova A, Verity-Legg J, Chen X, Liu Y, Song CX, de Ridder J, van Oudenaarden A.   +10 more
europepmc   +1 more source

Edge-intelligent lightweight vision system for perspective-corrected egg-cage matching in cage-reared ducks. [PDF]

Poult Sci
Guo D, Wang J, Lin Z, Liu Y, Liu K, Cuan K, Xiao D.   +6 more
europepmc   +1 more source

Editorial: Highly efficient selections and applicable utilizations of aptamers as molecular recognition elements. [PDF]

Front Chem
Lou X, Sun J, Tao WA, Dong Y.
europepmc   +1 more source

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A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions

arXiv.org, 2023
The powerful ability to understand, follow, and generate complex language emerging from large language models (LLMs) makes LLM-generated text flood many areas of our daily lives at an incredible speed and is widely accepted by humans. As LLMs continue to
Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Derek F. Wong, Lidia S. Chao   +5 more
semanticscholar   +1 more source

Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution

Computer Vision and Pattern Recognition, 2023
Recently, tampered text detection in document image has attracted increasingly attention due to its essential role on information security. However, detecting visually consistent tampered text in photographed document images is still a main challenge. In
Chenfan Qu, Chongyu Liu, Yuliang Liu, Xinhong Chen, Dezhi Peng, Fengjun Guo, Lianwen Jin   +6 more
semanticscholar   +1 more source

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

arXiv.org, 2023
Large Language Models (LLMs) have revolutionized the domain of natural language processing (NLP) with remarkable capabilities of generating human-like text responses.
Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, A. S. Bedi   +5 more
semanticscholar   +1 more source