lancopku / FedMNMTLinks
[Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter
☆12Updated last year
Alternatives and similar repositories for FedMNMT
Users that are interested in FedMNMT are comparing it to the libraries listed below
Sorting:
- Crawl & visualize ICLR papers and reviews.☆18Updated 2 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Updated 2 years ago
- [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…☆38Updated 2 years ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆35Updated 11 months ago
- [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…☆12Updated last year
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆55Updated last year
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated last year
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated 11 months ago
- Codebase for decoding compressed trust.☆23Updated last year
- The official repository of 'Unnatural Language Are Not Bugs but Features for LLMs'☆17Updated 2 weeks ago
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated last year
- Code for EMNLP 2021 main conference paper "Dynamic Knowledge Distillation for Pre-trained Language Models"☆41Updated 2 years ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆30Updated 2 years ago
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated 2 years ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆45Updated 7 months ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆40Updated 4 years ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆35Updated last week
- ☆22Updated 2 years ago
- Code for LLM_Catastrophic_Forgetting via SAM.☆10Updated last year
- ☆12Updated 3 years ago
- ☆21Updated last year
- Code for "Universal Adversarial Triggers Are Not Universal."☆17Updated last year
- ☆25Updated 3 years ago
- ☆20Updated 2 months ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆17Updated last year
- [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"☆26Updated last year
- ☆35Updated last year
- ☆23Updated 3 months ago
- Code for CascadeBERT, Findings of EMNLP 2021☆12Updated 3 years ago