Information-Theoretic Complementary Prompts for Improved Continual Text Classification

27 May 2025

Papers citing "Information-Theoretic Complementary Prompts for Improved Continual Text Classification"

28 / 28 papers shown

Title
ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing Xuanle Zhao Xuexin Liu Haoyue Yang Xianzhen Luo Fanhu Zeng Jianling Li Qi Shi Chi Chen 70 4 0 17 May 2025
Lifelong Learning of Large Language Model based Agents: A Roadmap Junhao Zheng Chengming Shi Xidi Cai Qiuke Li Duzhen Zhang Cuiping Li Dong Yu Qianli Ma CLL KELM LLMAG LM&Ro AI4CE 83 11 0 13 Jan 2025
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation Xuanle Zhao Xianzhen Luo Qi Shi Chong Chen Shuo Wang Wanxiang Che Zhiyuan Liu MLLM 84 11 0 11 Jan 2025
Continual Named Entity Recognition without Catastrophic Forgetting Duzhen Zhang Wei Cong Jiahua Dong Yahan Yu Xiuyi Chen Yonggang Zhang Zhen Fang 38 12 0 23 Oct 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning Zhen Wang Yikang Shen Leonid Karlinsky Rogerio Feris Huan Sun Yoon Kim VLM VPVLM 66 113 0 06 Mar 2023
Progressive Prompts: Continual Learning for Language Models Anastasia Razdaibiedina Yuning Mao Rui Hou Madian Khabsa M. Lewis Amjad Almahairi VLM KELM CLL 92 135 0 29 Jan 2023
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Zifeng Wang Zizhao Zhang Sayna Ebrahimi Ruoxi Sun Han Zhang ... Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VLM VPVLM 108 488 0 10 Apr 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 86 773 0 16 Dec 2021
Leveraging Information Bottleneck for Scientific Document Summarization Jiaxin Ju Ming Liu Huan Yee Koh Yuan Jin Lan Du Shirui Pan 76 15 0 04 Oct 2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning Yuxian Gu Xu Han Zhiyuan Liu Minlie Huang VLM 84 416 0 09 Sep 2021
Co $^2$ L: Contrastive Continual Learning Hyuntak Cha Jaeho Lee Jinwoo Shin CLL SSL VLM 102 302 0 28 Jun 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers Rabeeh Karimi Mahabadi James Henderson Sebastian Ruder MoE 97 483 0 08 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 517 4,032 0 18 Apr 2021
Continual Learning for Text Classification with Information Disentanglement Based Regularization Yufan Huang Yanzhe Zhang Jiaao Chen Xuezhi Wang Diyi Yang CLL 59 111 0 12 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 215 4,244 0 01 Jan 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 247 4,047 0 20 Nov 2020
Efficient Meta Lifelong-Learning with Limited Memory Zirui Wang Sanket Vaibhav Mehta Barnabás Póczós J. Carbonell CLL KELM 62 76 0 06 Oct 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 406 42,393 0 03 Dec 2019
Continual Unsupervised Representation Learning Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu R. Hadsell BDL CLL SSL DRL 34 258 0 31 Oct 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 254 2,307 0 02 May 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.0K 7,152 0 20 Apr 2018
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 115 1,222 0 04 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 658 131,414 0 12 Jun 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 339 7,498 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 129 3,754 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 282 4,400 0 29 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 137 1,441 0 21 Dec 2013