Summary of Prompting a Pretrained Transformer Can Be a Universal Approximator, by Aleksandar Petrov et al.
Prompting a Pretrained Transformer Can Be a Universal Approximatorby Aleksandar Petrov, Philip H.S. Torr, Adel…
Summary of 2d Matryoshka Sentence Embeddings, by Xianming Li et al.
2D Matryoshka Sentence Embeddingsby Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing LiFirst submitted…
Summary of Linear Transformers Are Versatile In-context Learners, by Max Vladymyrov et al.
Linear Transformers are Versatile In-Context Learnersby Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong GeFirst…
Summary of Betail: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay, by Catherine Weaver et al.
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplayby Catherine Weaver, Chen Tang, Ce…
Summary of Comparing Graph Transformers Via Positional Encodings, by Mitchell Black et al.
Comparing Graph Transformers via Positional Encodingsby Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu…
Summary of Do Efficient Transformers Really Save Computation?, by Kai Yang et al.
Do Efficient Transformers Really Save Computation?by Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang…
Summary of Contextual Molecule Representation Learning From Chemical Reaction Knowledge, by Han Tang et al.
Contextual Molecule Representation Learning from Chemical Reaction Knowledgeby Han Tang, Shikun Feng, Bicheng Lin, Yuyan…
Summary of An Explainable Transformer-based Model For Phishing Email Detection: a Large Language Model Approach, by Mohammad Amaz Uddin and Iqbal H. Sarker
An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approachby Mohammad Amaz…
Summary of From Self-attention to Markov Models: Unveiling the Dynamics Of Generative Transformers, by M. Emrullah Ildiz et al.
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformersby M. Emrullah Ildiz, Yixiao…
Summary of Fingpt-hpc: Efficient Pretraining and Finetuning Large Language Models For Financial Applications with High-performance Computing, by Xiao-yang Liu et al.
FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computingby Xiao-Yang…