Summary of Linear Independence Of Generalized Neurons and Related Functions, by Leyang Zhang
Linear Independence of Generalized Neurons and Related Functionsby Leyang ZhangFirst submitted to arxiv on: 22…
Linear Independence of Generalized Neurons and Related Functionsby Leyang ZhangFirst submitted to arxiv on: 22…
Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommendersby Kaushal Paneri, Michael Munje, Kailash…
Revisiting the Superficial Alignment Hypothesisby Mohit Raghavendra, Vaskar Nath, Sean HendryxFirst submitted to arxiv on:…
FaithEval: Can Your Language Model Stay Faithful to Context, Even If “The Moon is Made…
Topological Foundations of Reinforcement Learningby David Krame KadurhaFirst submitted to arxiv on: 25 Sep 2024CategoriesMain:…
Beyond Scalar Reward Model: Learning Generative Judge from Preference Databy Ziyi Ye, Xiangsheng Li, Qiuchi…
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMsby Mehdi Ali, Michael Fromm, Klaudia Thellmann, Jan Ebert, Alexander…
Task-Adaptive Pretrained Language Models via Clustered-Importance Samplingby David Grangier, Simin Fan, Skyler Seto, Pierre AblinFirst…
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Mergingby Yiming Ju, Ziyi Ni, Xingrun…
Khattat: Enhancing Readability and Concept Representation of Semantic Typographyby Ahmed Hussein, Alaa Elsetohy, Sama Hadhoud,…