allenai / data-efficient-finetuningLinks
Code for paper 'Data-Efficient FineTuning'
☆29Updated 2 years ago
Alternatives and similar repositories for data-efficient-finetuning
Users that are interested in data-efficient-finetuning are comparing it to the libraries listed below
Sorting:
- TBC☆27Updated 2 years ago
- [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective☆31Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"☆76Updated 2 years ago
- Pile Deduplication Code☆19Updated 2 years ago
- Retrieval as Attention☆83Updated 2 years ago
- Repo for "On Learning to Summarize with Large Language Models as References"☆44Updated 2 years ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆55Updated 2 years ago
- ☆34Updated 3 years ago
- ☆24Updated 2 years ago
- ☆48Updated last year
- Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).☆25Updated 9 months ago
- DEMix Layers for Modular Language Modeling☆53Updated 3 years ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 10 months ago
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 4 years ago
- ☆50Updated last year
- An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation☆27Updated 11 months ago
- Interpretable unified language safety checking with large language models☆30Updated 2 years ago
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆57Updated 2 years ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated 2 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- Transformers at any scale☆41Updated last year
- ☆17Updated 3 months ago
- Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)☆64Updated last year
- The LM Contamination Index is a manually created database of contamination evidences for LMs.☆78Updated last year
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆59Updated 4 months ago
- Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval☆25Updated last year
- This is the official implementation of the paper: "Contrastive Learning of Sentence Embeddings from Scratch"☆38Updated last year
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆21Updated 9 months ago
- On Transferability of Prompt Tuning for Natural Language Processing☆99Updated last year