yizhongw / Tk-InstructLinks
Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.
☆182Updated 3 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.☆105Updated 2 years ago
- ☆144Updated 10 months ago
- PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an…☆284Updated 3 years ago
- ☆189Updated 5 months ago
- A Multilingual Replicable Instruction-Following Model☆95Updated 2 years ago
- Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.☆165Updated 2 years ago
- The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)☆158Updated 2 years ago
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆60Updated 10 months ago
- Scalable training for dense retrieval models.☆298Updated 6 months ago
- ☆180Updated 2 years ago
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆135Updated last year
- Code for Editing Factual Knowledge in Language Models☆142Updated 3 years ago
- [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674☆196Updated 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
- Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation☆214Updated last year
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆463Updated 3 years ago
- A unified benchmark for math reasoning☆89Updated 2 years ago
- ☆83Updated this week
- ☆82Updated 2 years ago
- Token-level Reference-free Hallucination Detection☆97Updated 2 years ago
- ☆39Updated 3 years ago
- Inspecting and Editing Knowledge Representations in Language Models☆119Updated 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)☆64Updated last year
- ☆22Updated 2 years ago
- ☆75Updated 2 years ago
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆78Updated last year
- ☆88Updated 3 years ago
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆116Updated 5 months ago
- Datasets for Instruction Tuning of Large Language Models☆259Updated 2 years ago
- Source codes and datasets for How well do Large Language Models perform in Arithmetic tasks?☆57Updated 2 years ago