yizhongw / Tk-Instruct
Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.
☆179Updated 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.☆103Updated last year
- ☆127Updated 2 months ago
- Inspecting and Editing Knowledge Representations in Language Models☆112Updated last year
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆207Updated last year
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆99Updated last year
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆113Updated 6 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
- Scalable training for dense retrieval models.☆283Updated 3 weeks ago
- ☆82Updated last year
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆59Updated last month
- ☆174Updated 2 years ago
- ☆64Updated 2 years ago
- Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.☆162Updated last year
- ☆178Updated 2 years ago
- ☆182Updated last year
- PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an…☆270Updated 2 years ago
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆83Updated 7 months ago
- All available datasets for Instruction Tuning of Large Language Models☆247Updated last year
- A library for finding knowledge neurons in pretrained transformer models.☆155Updated 3 years ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 7 months ago
- A unified benchmark for math reasoning☆87Updated 2 years ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆97Updated 2 years ago
- ☆97Updated 2 years ago
- ☆85Updated 2 years ago
- contrastive decoding☆196Updated 2 years ago
- The official code of EMNLP 2022, "SCROLLS: Standardized CompaRison Over Long Language Sequences".☆69Updated last year
- [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674☆197Updated last year
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆79Updated 6 months ago
- ☆72Updated last year