Summary of Tackling Polysemanticity with Neuron Embeddings, by Alex Foote
Tackling Polysemanticity with Neuron Embeddingsby Alex FooteFirst submitted to arxiv on: 12 Nov 2024CategoriesMain: Machine…
Summary of Multi-agent Stochastic Bandits Robust to Adversarial Corruptions, by Fatemeh Ghaffari et al.
Multi-Agent Stochastic Bandits Robust to Adversarial Corruptionsby Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad HajiesmailiFirst…
Summary of What Representational Similarity Measures Imply About Decodable Information, by Sarah E. Harvey et al.
What Representational Similarity Measures Imply about Decodable Informationby Sarah E. Harvey, David Lipshutz, Alex H.…
Summary of Imitation Learning From Observations: An Autoregressive Mixture Of Experts Approach, by Renzi Wang et al.
Imitation Learning from Observations: An Autoregressive Mixture of Experts Approachby Renzi Wang, Flavia Sofia Acerbo,…
Summary of Perft: Parameter-efficient Routed Fine-tuning For Mixture-of-expert Model, by Yilun Liu et al.
PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Modelby Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding,…
Summary of Nvcim-pt: An Nvcim-assisted Prompt Tuning Framework For Edge Llms, by Ruiyang Qin et al.
NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMsby Ruiyang Qin, Pengyu Ren, Zheyu Yan,…
Summary of Deceiving Question-answering Models: a Hybrid Word-level Adversarial Approach, by Jiyao Li et al.
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approachby Jiyao Li, Mingze Ni, Yongshun Gong, Wei…
Summary of Retrieval Augmented Time Series Forecasting, by Kutay Tire et al.
Retrieval Augmented Time Series Forecastingby Kutay Tire, Ege Onur Taga, Muhammed Emrullah Ildiz, Samet OymakFirst…
Summary of Gptree: Towards Explainable Decision-making Via Llm-powered Decision Trees, by Sichao Xiong et al.
GPTree: Towards Explainable Decision-Making via LLM-powered Decision Treesby Sichao Xiong, Yigit Ihlamur, Fuat Alican, Aaron…
Summary of Least Squares Training Of Quadratic Convolutional Neural Networks with Applications to System Theory, by Zachary Yetman Van Egmond et al.
Least Squares Training of Quadratic Convolutional Neural Networks with Applications to System Theoryby Zachary Yetman…