yizhongw / Tk-Instruct
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
- A framework for few-shot evaluation of autoregressive language models.☆104Updated last year
- ☆178Updated 2 years ago
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆100Updated last year
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆114Updated 7 months ago
- The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)☆157Updated 2 years ago
- A Multilingual Replicable Instruction-Following Model☆93Updated last year
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆79Updated 7 months ago
- All available datasets for Instruction Tuning of Large Language Models☆248Updated last year
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆99Updated 2 years ago
- PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an…☆271Updated 2 years ago
- ☆132Updated 3 months ago
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆208Updated last year
- ☆97Updated 2 years ago
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆464Updated 2 years ago
- Code for Editing Factual Knowledge in Language Models☆137Updated 3 years ago
- A unified benchmark for math reasoning☆87Updated 2 years ago
- [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation☆152Updated last year
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆59Updated 2 months ago
- ☆85Updated 2 years ago
- Inspecting and Editing Knowledge Representations in Language Models☆116Updated last year
- contrastive decoding☆199Updated 2 years ago
- ☆73Updated last year
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 9 months ago
- Self-Alignment with Principle-Following Reward Models☆160Updated last year
- Token-level Reference-free Hallucination Detection☆94Updated last year
- [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674☆196Updated last year
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 3 years ago
- A library for finding knowledge neurons in pretrained transformer models.☆156Updated 3 years ago
- ☆82Updated 2 years ago
- Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.☆162Updated last year