Model Stock: All we need is just a few fine-tuned models

28 March 2024

Papers citing "Model Stock: All we need is just a few fine-tuned models"

8 / 8 papers shown

Title
Bielik 11B v2 Technical Report Krzysztof Ociepa Łukasz Flis Krzysztof Wróbel Adrian Gwoździej Remigiusz Kinas 46 0 0 05 May 2025
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment Chao Wang Giulio Franzese A. Finamore Pietro Michiardi 74 0 0 18 Mar 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs Zhongzhan Huang Guoming Ling Vincent S. Liang Yupei Lin Yandong Chen Shanshan Zhong Hefeng Wu LRM 69 5 0 08 Mar 2025
LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach Hetarth Chopra Vidhi Rambhia Vikram Adve MoMe 77 0 0 05 Mar 2025
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 52 655 0 21 Feb 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 133 9,946 0 17 Jun 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 248 438 0 17 Feb 2021
Learning Robust Global Representations by Penalizing Local Predictive Power Haohan Wang Songwei Ge Eric Xing Zachary Chase Lipton OOD 52 944 0 29 May 2019