Summary of Re-adapt: Reverse Engineered Adaptation Of Large Language Models, by William Fleshman and Benjamin Van Durme
RE-Adapt: Reverse Engineered Adaptation of Large Language Modelsby William Fleshman, Benjamin Van DurmeFirst submitted to…
Summary of Parameter-free Clipped Gradient Descent Meets Polyak, by Yuki Takezawa et al.
Parameter-free Clipped Gradient Descent Meets Polyakby Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto…
Summary of Extracting Prompts by Inverting Llm Outputs, By Collin Zhang et al.
Extracting Prompts by Inverting LLM Outputsby Collin Zhang, John X. Morris, Vitaly ShmatikovFirst submitted to…
Summary of Editworld: Simulating World Dynamics For Instruction-following Image Editing, by Ling Yang et al.
EditWorld: Simulating World Dynamics for Instruction-Following Image Editingby Ling Yang, Bohan Zeng, Jiaming Liu, Hong…
Summary of Recurrent Early Exits For Federated Learning with Heterogeneous Clients, by Royson Lee et al.
Recurrent Early Exits for Federated Learning with Heterogeneous Clientsby Royson Lee, Javier Fernandez-Marques, Shell Xu…
Summary of Implicit Personalization in Language Models: a Systematic Study, by Zhijing Jin et al.
Implicit Personalization in Language Models: A Systematic Studyby Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad…
Summary of Scalable Optimization in the Modular Norm, by Tim Large and Yang Liu and Minyoung Huh and Hyojin Bahng and Phillip Isola and Jeremy Bernstein
Scalable Optimization in the Modular Normby Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip…
Summary of Pagoda: Progressive Growing Of a One-step Generator From a Low-resolution Diffusion Teacher, by Dongjun Kim et al.
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacherby Dongjun Kim, Chieh-Hsin…
Summary of Analysis Of Atom-level Pretraining with Quantum Mechanics (qm) Data For Graph Neural Networks Molecular Property Models, by Jose Arjona-medina and Ramil Nugmanov
Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for Graph Neural Networks Molecular property…
Summary of From Explicit Cot to Implicit Cot: Learning to Internalize Cot Step by Step, By Yuntian Deng et al.
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Stepby Yuntian Deng,…