Summary of Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models, by Samuel Marks et al.
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Modelsby Samuel Marks, Can…
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Modelsby Samuel Marks, Can…
Analyzing the Roles of Language and Vision in Learning from Limited Databy Allison Chen, Ilia…
STRUM-LLM: Attributed and Structured Contrastive Summarizationby Beliz Gunel, James B. Wendt, Jing Xie, Yichao Zhou,…
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Searchby Junghyup Lee, Bumsub HamFirst submitted to arxiv…
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embeddingby Marco Bongiovanni, Luca Gallo,…
Efficient Learning With Sine-Activated Low-rank Matricesby Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon…
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learningby Wei Duan, Jie Lu, Junyu…
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather…
Fine-Tuning Language Models with Reward Learning on Policyby Hao Lang, Fei Huang, Yongbin LiFirst submitted…
Uplift Modeling Under Limited Supervisionby George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun PangFirst submitted…