lancopku / FedMNMT
[Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter
☆11Updated last year
Alternatives and similar repositories for FedMNMT:
Users that are interested in FedMNMT are comparing it to the libraries listed below
- Crawl & visualize ICLR papers and reviews.☆18Updated 2 years ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆35Updated 7 months ago
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆55Updated last year
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated last year
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated last year
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated last year
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆10Updated 2 years ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆34Updated 3 months ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆35Updated 2 months ago
- Codebase for decoding compressed trust.☆22Updated 8 months ago
- Code for EMNLP 2021 main conference paper "Dynamic Knowledge Distillation for Pre-trained Language Models"☆40Updated 2 years ago
- my commonly-used tools☆48Updated last week
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆17Updated 8 months ago
- Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆11Updated 6 months ago
- ☆21Updated last year
- Code and Data Repo for [NeurIPS 2024] Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"☆21Updated 7 months ago
- Codes for Merging Large Language Models☆27Updated 5 months ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated 8 months ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆38Updated 2 months ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆29Updated last year
- Mixture of Attention Heads☆41Updated 2 years ago
- ☆31Updated last year
- Code for "Universal Adversarial Triggers Are Not Universal."☆16Updated 8 months ago
- Visual and Embodied Concepts evaluation benchmark☆21Updated last year
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆38Updated 3 years ago
- ☆20Updated last year
- [NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li…☆21Updated last year
- ☆12Updated 3 weeks ago