Summary of Clora: a Contrastive Approach to Compose Multiple Lora Models, by Tuna Han Salih Meral et al.
CLoRA: A Contrastive Approach to Compose Multiple LoRA Modelsby Tuna Han Salih Meral, Enis Simsar,…
Summary of Localizing Paragraph Memorization in Language Models, by Niklas Stoehr et al.
Localizing Paragraph Memorization in Language Modelsby Niklas Stoehr, Mitchell Gordon, Chiyuan Zhang, Owen LewisFirst submitted…
Summary of Mambamixer: Efficient Selective State Space Models with Dual Token and Channel Selection, by Ali Behrouz and Michele Santacatterina and Ramin Zabih
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selectionby Ali Behrouz, Michele…
Summary of Interpreting Key Mechanisms Of Factual Recall in Transformer-based Language Models, by Ang Lv et al.
Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Modelsby Ang Lv, Yuhan Chen, Kaiyi…
Summary of Self-improved Learning For Scalable Neural Combinatorial Optimization, by Fu Luo et al.
Self-Improved Learning for Scalable Neural Combinatorial Optimizationby Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong,…
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…
Summary of Mpxgat: An Attention Based Deep Learning Model For Multiplex Graphs Embedding, by Marco Bongiovanni et al.
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embeddingby Marco Bongiovanni, Luca Gallo,…
Summary of Topological Cycle Graph Attention Network For Brain Functional Connectivity, by Jinghan Huang et al.
Topological Cycle Graph Attention Network for Brain Functional Connectivityby Jinghan Huang, Nanguang Chen, Anqi QiuFirst…
Summary of Non-linear Inference Time Intervention: Improving Llm Truthfulness, by Jakub Hoscilowicz et al.
Non-Linear Inference Time Intervention: Improving LLM Truthfulnessby Jakub Hoscilowicz, Adam Wiacek, Jan Chojnacki, Adam Cieslak,…
Summary of Deep Fusion: Capturing Dependencies in Contrastive Learning Via Transformer Projection Heads, by Huanran Li et al.
Deep Fusion: Capturing Dependencies in Contrastive Learning via Transformer Projection Headsby Huanran Li, Daniel Pimentel-AlarcónFirst…