Summary of Acer: Automatic Language Model Context Extension Via Retrieval, by Luyu Gao et al.
ACER: Automatic Language Model Context Extension via Retrievalby Luyu Gao, Yunyi Zhang, Jamie CallanFirst submitted…
Summary of Maximizing the Potential Of Synthetic Data: Insights From Random Matrix Theory, by Aymane El Firdoussi et al.
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theoryby Aymane El Firdoussi, Mohamed…
Summary of Finite Sample Complexity Analysis Of Binary Segmentation, by Toby Dylan Hocking
Finite Sample Complexity Analysis of Binary Segmentationby Toby Dylan HockingFirst submitted to arxiv on: 11…
Summary of Unsupervised Data Validation Methods For Efficient Model Training, by Yurii Paniv
Unsupervised Data Validation Methods for Efficient Model Trainingby Yurii PanivFirst submitted to arxiv on: 10…
Summary of A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research, by Seongjin Choi et al.
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Researchby Seongjin Choi, Zhixiong…
Summary of Ordering-based Causal Discovery For Linear and Nonlinear Relations, by Zhuopeng Xu et al.
Ordering-Based Causal Discovery for Linear and Nonlinear Relationsby Zhuopeng Xu, Yujie Li, Cheng Liu, Ning…
Summary of Fedbip: Heterogeneous One-shot Federated Learning with Personalized Latent Diffusion Models, by Haokun Chen et al.
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Modelsby Haokun Chen, Hang Li, Yao…
Summary of Strong Model Collapse, by Elvis Dohmatob et al.
Strong Model Collapseby Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia KempeFirst submitted to arxiv on:…
Summary of Gamformer: In-context Learning For Generalized Additive Models, by Andreas Mueller et al.
GAMformer: In-Context Learning for Generalized Additive Modelsby Andreas Mueller, Julien Siems, Harsha Nori, David Salinas,…
Summary of Auto-gda: Automatic Domain Adaptation For Efficient Grounding Verification in Retrieval-augmented Generation, by Tobias Leemann et al.
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generationby Tobias Leemann, Periklis Petridis,…