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GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's trained end-to-end across text, vision, and audio, meaning all inputs
Externí odkaz:
http://arxiv.org/abs/2410.21276
Autor:
Weng, Chang, Rood, Scott, Ramezani, Mehdi Ali, Aslani, Amir, Zarrab, Reza, Zwuo, Wang, Salimans, Sanjeev, Satheesh, Tim
Natural Language Processing (NLP) is widely used in fields like machine translation and sentiment analysis. However, traditional NLP models struggle with accuracy and efficiency. This paper introduces Deep Convolutional Neural Networks (DCNN) into NL
Externí odkaz:
http://arxiv.org/abs/2412.15900
Can Large Language Models (LLMs) accurately predict election outcomes? While LLMs have demonstrated impressive performance in healthcare, legal analysis, and creative applications, their capabilities in election forecasting remain uncertain. Notably,
Externí odkaz:
http://arxiv.org/abs/2412.15291
Heterogeneous computing, which incorporates GPUs, NPUs, and FPGAs, is increasingly utilized to improve the efficiency of computer systems. However, this shift has given rise to significant security and privacy concerns, especially when the execution
Externí odkaz:
http://arxiv.org/abs/2412.13905
Superlubricity, a state where friction between two contact surfaces is nearly zero, has a great potential to revolutionize various mechanical systems by significantly reducing energy dissipation and enhancing efficiency. It can be realized either by
Externí odkaz:
http://arxiv.org/abs/2412.13530
Autor:
Zhang, Gongbo, Xu, Zihan, Jin, Qiao, Chen, Fangyi, Fang, Yilu, Liu, Yi, Rousseau, Justin F., Xu, Ziyang, Lu, Zhiyong, Weng, Chunhua, Peng, Yifan
While holding great promise for improving and facilitating healthcare, large language models (LLMs) struggle to produce up-to-date responses on evolving topics due to outdated knowledge or hallucination. Retrieval-augmented generation (RAG) is a pivo
Externí odkaz:
http://arxiv.org/abs/2412.15271
Numerous well-annotated human key-point datasets are publicly available to date. However, annotating human poses for newly collected images is still a costly and time-consuming progress. Pose distributions from different datasets share similar pose h
Externí odkaz:
http://arxiv.org/abs/2412.13463
Autor:
Liao, Zhiyu, Li, Boxuan, Yi, Shaohui, Zheng, Lincong, Wu, Yubiao, Yi, Enkui, Marsik, Premysl, Shen, Bing, Weng, Hongming, Xu, Bing, Qiu, Xianggang, Bernhard, Christian
We report an infrared spectroscopy study of the antiferromagnetic (AFM) insulator EuZn$_2$As$_2$ over a broad frequency range, spanning temperatures both above and below the AFM transition $T_{\rm N} \simeq$ 20 K. The optical response reveals an insu
Externí odkaz:
http://arxiv.org/abs/2412.12728
Publikováno v:
Journal of Differential Equations 415 (2025) 303-364
In this paper, we investigate the large-order asymptotics of multi-rational solitons of the focusing complex modified Korteweg-de Vries (c-mKdV) equation with nonzero background via the Riemann-Hilbert problems. First, based on the Lax pair, inverse
Externí odkaz:
http://arxiv.org/abs/2412.11581
Human motion generation involves creating natural sequences of human body poses, widely used in gaming, virtual reality, and human-computer interaction. It aims to produce lifelike virtual characters with realistic movements, enhancing virtual agents
Externí odkaz:
http://arxiv.org/abs/2412.10458