Summary of Base Models For Parabolic Partial Differential Equations, by Xingzi Xu et al.
Base Models for Parabolic Partial Differential Equationsby Xingzi Xu, Ali Hasan, Jie Ding, Vahid TarokhFirst…
Summary of When Can Transformers Compositionally Generalize In-context?, by Seijin Kobayashi et al.
When can transformers compositionally generalize in-context?by Seijin Kobayashi, Simon Schug, Yassir Akram, Florian Redhardt, Johannes…
Summary of Chip Placement with Diffusion Models, by Vint Lee et al.
Chip Placement with Diffusion Modelsby Vint Lee, Minh Nguyen, Leena Elzeiny, Chun Deng, Pieter Abbeel,…
Summary of Enhancing Parameter Efficiency and Generalization in Large-scale Models: a Regularized and Masked Low-rank Adaptation Approach, by Yuzhu Mao et al.
Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approachby…
Summary of Graphfm: a Scalable Framework For Multi-graph Pretraining, by Divyansha Lachi et al.
GraphFM: A Scalable Framework for Multi-Graph Pretrainingby Divyansha Lachi, Mehdi Azabou, Vinam Arora, Eva DyerFirst…
Summary of Does Refusal Training in Llms Generalize to the Past Tense?, by Maksym Andriushchenko and Nicolas Flammarion
Does Refusal Training in LLMs Generalize to the Past Tense?by Maksym Andriushchenko, Nicolas FlammarionFirst submitted…
Summary of Lrq: Optimizing Post-training Quantization For Large Language Models by Learning Low-rank Weight-scaling Matrices, By Jung Hyun Lee et al.
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matricesby Jung Hyun…
Summary of Importance-aware Adaptive Dataset Distillation, by Guang Li et al.
Importance-Aware Adaptive Dataset Distillationby Guang Li, Ren Togo, Takahiro Ogawa, Miki HaseyamaFirst submitted to arxiv…