txsun1997 / Black-Box-Tuning
ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models
☆265Updated 2 years ago
Alternatives and similar repositories for Black-Box-Tuning:
Users that are interested in Black-Box-Tuning are comparing it to the libraries listed below
- An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi☆259Updated last year
- ☆346Updated 3 years ago
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆192Updated last year
- Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.☆281Updated last year
- [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation☆150Updated last year
- ☆173Updated 6 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆129Updated last year
- [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners☆131Updated 2 years ago
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆161Updated last year
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆138Updated 2 years ago
- ☆60Updated 2 years ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆100Updated 2 years ago
- Paper collections of retrieval-based (augmented) language model.☆231Updated 8 months ago
- contrastive decoding☆192Updated 2 years ago
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆164Updated 3 years ago
- [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674☆197Updated last year
- 🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT☆194Updated last year
- ☆95Updated 4 months ago
- ☆267Updated last month
- ☆122Updated 7 months ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 6 months ago
- Released code for our ICLR23 paper.☆63Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆157Updated 8 months ago
- MEND: Fast Model Editing at Scale☆242Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆412Updated 4 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆311Updated last year
- ☆96Updated last year
- [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation☆469Updated 11 months ago
- Must-read papers on improving efficiency for pre-trained language models.☆102Updated 2 years ago
- [EMNLP 2023] Lion: Adversarial Distillation of Proprietary Large Language Models☆203Updated last year