Summary of Deniahl: In-context Features Influence Llm Needle-in-a-haystack Abilities, by Hui Dai et al.
DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilitiesby Hui Dai, Dan Pechi, Xinyi Yang, Garvit Banga,…
Summary of Libra: Leveraging Temporal Images For Biomedical Radiology Analysis, by Xi Zhang et al.
Libra: Leveraging Temporal Images for Biomedical Radiology Analysisby Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond…
Summary of Zero-forget Preservation Of Semantic Communication Alignment in Distributed Ai Networks, by Jingzhi Hu et al.
Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networksby Jingzhi Hu, Geoffrey Ye LiFirst…
Summary of Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks, by Adam Karvonen et al.
Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasksby Adam Karvonen, Can Rager, Samuel Marks, Neel…
Summary of Fedrgl: Robust Federated Graph Learning For Label Noise, by De Li et al.
FedRGL: Robust Federated Graph Learning for Label Noiseby De Li, Haodong Qian, Qiyu Li, Zhou…
Summary of Matata: a Weakly-supervised Mathematical Tool-assisted Reasoning For Tabular Applications, by Vishnou Vinayagame et al.
MATATA: A weakly-supervised MAthematical Tool-Assisted reasoning for Tabular Applicationsby Vishnou Vinayagame, Gregory Senay, Luis MartÃFirst…
Summary of Federated Continual Graph Learning, by Yinlin Zhu et al.
Federated Continual Graph Learningby Yinlin Zhu, Xunkai Li, Miao Hu, Di WuFirst submitted to arxiv…
Summary of Vipaint: Image Inpainting with Pre-trained Diffusion Models Via Variational Inference, by Sakshi Agarwal et al.
VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inferenceby Sakshi Agarwal, Gabe Hoope, Erik…
Summary of Iclerb: In-context Learning Embedding and Reranker Benchmark, by Marie Al Ghossein and Emile Contal and Alexandre Robicquet
ICLERB: In-Context Learning Embedding and Reranker Benchmarkby Marie Al Ghossein, Emile Contal, Alexandre RobicquetFirst submitted…
Summary of Neurolifting: Neural Inference on Markov Random Fields at Scale, by Yaomin Wang et al.
NeuroLifting: Neural Inference on Markov Random Fields at Scaleby Yaomin Wang, Chaolong Ying, Xiaodong Luo,…