Summary of Get More For Less: Principled Data Selection For Warming Up Fine-tuning in Llms, by Feiyang Kang et al.
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMsby Feiyang Kang,…
Summary of Linear Noise Approximation Assisted Bayesian Inference on Mechanistic Model Of Partially Observed Stochastic Reaction Network, by Wandi Xu and Wei Xie
Linear Noise Approximation Assisted Bayesian Inference on Mechanistic Model of Partially Observed Stochastic Reaction Networkby…
Summary of Adapting to Distribution Shift by Visual Domain Prompt Generation, By Zhixiang Chi et al.
Adapting to Distribution Shift by Visual Domain Prompt Generationby Zhixiang Chi, Li Gu, Tao Zhong,…
Summary of Graph As Point Set, by Xiyuan Wang et al.
Graph as Point Setby Xiyuan Wang, Pan Li, Muhan ZhangFirst submitted to arxiv on: 5…
Summary of Verlet Flows: Exact-likelihood Integrators For Flow-based Generative Models, by Ezra Erives et al.
Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Modelsby Ezra Erives, Bowen Jing, Tommi JaakkolaFirst submitted…
Summary of Is Flash Attention Stable?, by Alicia Golden et al.
Is Flash Attention Stable?by Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin…
Summary of Kinematic Analysis Of Structural Mechanics Based on Convolutional Neural Network, by Leye Zhang et al.
Kinematic analysis of structural mechanics based on convolutional neural networkby Leye Zhang, Xiangxiang Tian, Hongjun…
Summary of Stochastic Rag: End-to-end Retrieval-augmented Generation Through Expected Utility Maximization, by Hamed Zamani and Michael Bendersky
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximizationby Hamed Zamani, Michael BenderskyFirst submitted to…
Summary of Iceformer: Accelerated Inference with Long-sequence Transformers on Cpus, by Yuzhen Mao et al.
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUsby Yuzhen Mao, Martin Ester, Ke LiFirst submitted…
Summary of Data-efficient Molecular Generation with Hierarchical Textual Inversion, by Seojin Kim et al.
Data-Efficient Molecular Generation with Hierarchical Textual Inversionby Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin,…