ychen-stat-ml / kernel-adaptersLinks
Code for "Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning" (EMNLP 2022) and "Empowering Parameter-Efficient Transfer Learning by Recognizing the Kernel Structure in Attention" (NAACL 2022 Findings)
☆11Updated 2 years ago
Alternatives and similar repositories for kernel-adapters
Users that are interested in kernel-adapters are comparing it to the libraries listed below
Sorting:
- ☆27Updated 2 years ago
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆48Updated 3 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆102Updated 2 years ago
- [NAACL 2022] "Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training", Yuanxin Liu, Fandong Meng, Zheng Lin, Pe…☆15Updated 2 years ago
- [EMNLP 2022] Differentiable Data Augmentation for Contrastive Sentence Representation Learning. https://arxiv.org/abs/2210.16536☆40Updated 2 years ago
- NAACL 2022: MCSE: Multimodal Contrastive Learning of Sentence Embeddings☆56Updated last year
- The code for lifelong few-shot language learning☆55Updated 3 years ago
- [NeurIPS 2022] Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings☆22Updated 2 years ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- ☆14Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated last year
- Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.☆22Updated 2 years ago
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated 2 years ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- ☆41Updated last year
- "FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning" (ACL 2023)☆15Updated 2 years ago
- Methods and evaluation for aligning language models temporally☆29Updated last year
- Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"☆39Updated 3 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation☆27Updated last year
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆102Updated 2 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆68Updated 2 years ago
- Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.☆22Updated 11 months ago
- Visual and Embodied Concepts evaluation benchmark☆21Updated last year
- TBC☆27Updated 2 years ago
- [NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners☆22Updated 2 years ago
- Text generation using language models with multiple exit heads☆16Updated 3 months ago
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆110Updated 2 years ago