Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in
Class-incremental Information Extraction

Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction

Annual Meeting of the Association for Computational Linguistics (ACL), 2023

26 May 2023

ArXiv (abs)PDF HTML

Papers citing "Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction"

7 / 7 papers shown

Title
Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation M. Schaar Richard W. Peck E. McKinney Jim Weatherall Stuart Bailey ... Rafik Salama Christina Gunther Francesca Frau Antoine Pugeat Ramon Hernandez MedIm 200 0 0 10 Jun 2025
GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling Siqi Li Yufan Shen Xiangnan Chen Jiayi Chen Hengwei Ju ... Botian Shi Y. Liu Xinyu Cai Yu Qiao Yu Qiao VLM ELM 476 2 0 30 Apr 2025
Towards Lifelong Learning of Large Language Models: A Survey Junhao Zheng Shengjie Qiu Chengming Shi Qianli Ma KELM CLL 211 59 0 10 Jun 2024
Incremental Sequence Labeling: A Tale of Two Shifts Shengjie Qiu Junhao Zheng Zhen Liu Yicheng Luo Qianli Ma CLL 312 9 0 16 Feb 2024
Can LLMs Learn New Concepts Incrementally without Forgetting? Junhao Zheng Shengjie Qiu Qianli Ma CLL 178 0 0 13 Feb 2024
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Junhao Zheng Shengjie Qiu Qianli Ma 276 12 0 13 Dec 2023
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation AspectsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Minqian Liu Ying Shen Zhiyang Xu Yixin Cao Eunah Cho Vaibhav Kumar Reza Ghanadan Lifu Huang ELM LM&MA ALM 332 32 0 15 Nov 2023