yizhongw / Tk-InstructLinks
Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.
☆180Updated 2 years ago
Alternatives and similar repositories for Tk-Instruct
Users that are interested in Tk-Instruct are comparing it to the libraries listed below
Sorting:
- A framework for few-shot evaluation of autoregressive language models.☆103Updated 2 years ago
- The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)☆157Updated 2 years ago
- ☆179Updated 2 years ago
- ☆134Updated 4 months ago
- Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.☆162Updated last year
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆116Updated 8 months ago
- [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation☆153Updated 2 years ago
- Reverse Instructions to generate instruction tuning data with corpus examples☆212Updated last year
- Inspecting and Editing Knowledge Representations in Language Models☆116Updated last year
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆100Updated 2 years ago
- All available datasets for Instruction Tuning of Large Language Models☆250Updated last year
- A library for finding knowledge neurons in pretrained transformer models.☆157Updated 3 years ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 10 months ago
- ☆159Updated 2 years ago
- ☆72Updated 2 years ago
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆100Updated 2 years ago
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆79Updated 8 months ago
- Scalable training for dense retrieval models.☆295Updated 3 months ago
- [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674☆196Updated last year
- An experimental implementation of the retrieval-enhanced language model☆74Updated 2 years ago
- Source codes and datasets for How well do Large Language Models perform in Arithmetic tasks?☆56Updated 2 years ago
- Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et al., 2023)☆62Updated last year
- contrastive decoding☆201Updated 2 years ago
- A unified benchmark for math reasoning☆88Updated 2 years ago
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆159Updated last year
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 3 years ago
- An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi☆263Updated 2 years ago
- This is the repo for the paper Shepherd -- A Critic for Language Model Generation☆218Updated last year
- Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)☆64Updated last year
- ☆96Updated 2 years ago