Improving Pre-trained Language Model Fine-tuning with Noise Stability Regularization

12 June 2022

Papers citing "Improving Pre-trained Language Model Fine-tuning with Noise Stability Regularization"

6 / 6 papers shown

Title
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting Yunlong Tang Jing Bi Chao Huang Susan Liang Daiki Shimada ... Jinxi He Liu He Zeliang Zhang Jiebo Luo Chenliang Xu 37 0 0 07 Apr 2025
Universal Collection of Euclidean Invariants between Pairs of Position-Orientations Gijs Bellaard B. Smets R. Duits 59 0 0 04 Apr 2025
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Yuexian Zou 83 2 0 10 Feb 2025
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity Hang Hua Qing Liu Lingzhi Zhang Jing Shi Zhifei Zhang Yilin Wang Jianming Zhang Jiebo Luo CoGe VLM 90 6 0 23 Nov 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation Branislav Pecher Ján Cegin Róbert Belanec Jakub Simko Ivan Srba M. Bieliková 37 1 0 18 Jun 2024
V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning Hang Hua Yunlong Tang Chenliang Xu Jiebo Luo VGen 60 25 0 18 Apr 2024