Semiparametric Language Models Are Scalable Continual Learners

2 March 2023

Houfeng Wang

Papers citing "Semiparametric Language Models Are Scalable Continual Learners"

10 / 10 papers shown

Pre-training Limited Memory Language Models with Internal and External Knowledge

461

21 May 2025

A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024

Zheng Wang

263

05 Oct 2024

Collaborative Evolving Strategy for Automatic Data-Centric Development

Jiang Bian

357

26 Jul 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

455

13 Dec 2023

Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule AccumulationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023

Zeyuan Yang

Peng Li

Yang Liu

LRM

274

24 Oct 2023

Heterogenous Memory Augmented Neural Networks

Shanghang Zhang

235

17 Oct 2023

Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023

Luiza Amador Pozzobon

Beyza Ermis

Patrick Lewis

Sara Hooker

321

11 Oct 2023

How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent AdvancesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023

Zihan Zhang

Meng Fang

Lingxi Chen

Mohammad-Reza Namazi-Rad

Jun Wang

KELM

286

11 Oct 2023

In-context Autoencoder for Context Compression in a Large Language ModelInternational Conference on Learning Representations (ICLR), 2023

500

137

13 Jul 2023

Billion-scale similarity search with GPUsIEEE Transactions on Big Data (TBD), 2017

Jeff Johnson

Matthijs Douze

Edouard Grave

1.2K

4,864

28 Feb 2017