Summary of Hypothesis Testing the Circuit Hypothesis in Llms, by Claudia Shi et al.
Hypothesis Testing the Circuit Hypothesis in LLMsby Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng,…
Summary of Systems with Switching Causal Relations: a Meta-causal Perspective, by Moritz Willig et al.
Systems with Switching Causal Relations: A Meta-Causal Perspectiveby Moritz Willig, Tim Nelson Tobiasch, Florian Peter…
Summary of Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models, by Tong Liu et al.
Supply Chain Network Extraction and Entity Classification Leveraging Large Language Modelsby Tong Liu, Hadi MeidaniFirst…
Summary of Fedgtst: Boosting Global Transferability Of Federated Models Via Statistics Tuning, by Evelyn Ma et al.
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuningby Evelyn Ma, Chao Pan, Rasoul…
Summary of Aero: Softmax-only Llms For Efficient Private Inference, by Nandan Kumar Jha and Brandon Reagen
AERO: Softmax-Only LLMs for Efficient Private Inferenceby Nandan Kumar Jha, Brandon ReagenFirst submitted to arxiv…
Summary of Fedcap: Robust Federated Learning Via Customized Aggregation and Personalization, by Youpeng Li et al.
FedCAP: Robust Federated Learning via Customized Aggregation and Personalizationby Youpeng Li, Xinda Wang, Fuxun Yu,…
Summary of Optimal Transport For Probabilistic Circuits, by Adrian Ciotinga and Yoojung Choi
Optimal Transport for Probabilistic Circuitsby Adrian Ciotinga, YooJung ChoiFirst submitted to arxiv on: 16 Oct…
Summary of Mmed-rag: Versatile Multimodal Rag System For Medical Vision Language Models, by Peng Xia et al.
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Modelsby Peng Xia, Kangyu Zhu, Haoran…
Summary of Reverse-engineering the Reader, by Samuel Kiegeland et al.
Reverse-Engineering the Readerby Samuel Kiegeland, Ethan Gotlieb Wilcox, Afra Amini, David Robert Reich, Ryan CotterellFirst…
Summary of Self-comparison For Dataset-level Membership Inference in Large (vision-)language Models, by Jie Ren et al.
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Modelsby Jie Ren, Kangrui Chen, Chen Chen,…