Papers citing 'Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data'

Title
Forgetting: A New Mechanism Towards Better Large Language Model Fine-tuning Ali Taheri Ghahrizjani Alireza Taban Qizhou Wang Shanshan Ye Tongliang Liu Tongliang Liu CLL MU 224 1 0 06 Aug 2025
Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition Hongyu Qu Ling Xing Rui Yan Yazhou Yao G. Xie Xiangbo Shu 202 1 0 14 Apr 2025
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge Nakyeong Yang Minsung Kim Seunghyun Yoon Joongbo Shin Kyomin Jung KELM MU 277 4 0 26 Feb 2025
Harnessing Diversity for Important Data Selection in Pretraining Large Language ModelsInternational Conference on Learning Representations (ICLR), 2024 Chi Zhang Huaping Zhong Kuan Zhang Chengliang Chai Rui Wang ... Lei Cao Ju Fan Ye Yuan Guoren Wang Conghui He TDI 224 25 0 25 Sep 2024
TIES-Merging: Resolving Interference When Merging ModelsNeural Information Processing Systems (NeurIPS), 2023 Prateek Yadav Derek Tam Leshem Choshen Colin Raffel Joey Tianyi Zhou MoMe 378 502 0 02 Jun 2023
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & ToxicityNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Shayne Longpre Gregory Yauney Emily Reif Katherine Lee Adam Roberts ... Denny Zhou Jason W. Wei Kevin Robinson David M. Mimno Daphne Ippolito 332 206 0 22 May 2023