Summary of Topology-informed Graph Transformer, by Yun Young Choi et al.
Topology-Informed Graph Transformerby Yun Young Choi, Sun Woo Park, Minho Lee, Youngho WooFirst submitted to…
Topology-Informed Graph Transformerby Yun Young Choi, Sun Woo Park, Minho Lee, Youngho WooFirst submitted to…
TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copyby Vibhav Agarwal, Sourav Ghosh, Harichandana BSS, Himanshu…
Language-Guided World Models: A Model-Based Approach to AI Controlby Alex Zhang, Khanh Nguyen, Jens Tuyls,…
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processesby Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan…
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscapeby Juno Kim,…
Simulation of Graph Algorithms with Looped Transformersby Artur Back de Luca, Kimon FountoulakisFirst submitted to…
Dense Reward for Free in Reinforcement Learning from Human Feedbackby Alex J. Chan, Hao Sun,…
Theoretical Understanding of In-Context Learning in Shallow Transformers with Unstructured Databy Yue Xing, Xiaofeng Lin,…
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modelingby Mingze Wang, Weinan EFirst…
A Manifold Representation of the Key in Vision Transformersby Li Meng, Morten Goodwin, Anis Yazidi,…