yangkevin2 / emnlp22-re3-story-generation
☆245Updated last year
Related projects: ⓘ
- ☆147Updated 10 months ago
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆204Updated 8 months ago
- ☆174Updated last year
- An experimental implementation of the retrieval-enhanced language model☆75Updated last year
- [ICLR 2023] Codebase for Copy-Generator model, including an implementation of kNN-LM☆181Updated last year
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆177Updated last year
- The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)☆156Updated last year
- ☆178Updated last year
- ☆246Updated 9 months ago
- ☆158Updated last year
- ☆94Updated last year
- Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.☆159Updated 11 months ago
- Scalable training for dense retrieval models.☆268Updated last year
- Chain-of-Hindsight, A Scalable RLHF Method☆213Updated 11 months ago
- A dataset featuring diverse dialogues between two ChatGPT (gpt-3.5-turbo) instances with system messages written by GPT-4. Covering vario…☆165Updated last year
- [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation☆461Updated 6 months ago
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆456Updated last year
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆201Updated 10 months ago
- Prompt tuning toolkit for GPT-2 and GPT-Neo☆88Updated 2 years ago
- Used for adaptive human in the loop evaluation of language and embedding models.☆300Updated last year
- [TMLR'23] Contrastive Search Is What You Need For Neural Text Generation☆118Updated last year
- ☆183Updated 4 months ago
- Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback☆197Updated last year
- Implementation of Toolformer: Language Models Can Teach Themselves to Use Tools☆134Updated last year
- Code and data for "Measuring and Narrowing the Compositionality Gap in Language Models"☆293Updated 8 months ago
- ☆166Updated last year
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆508Updated 9 months ago
- Implementation of Reinforcement Learning from Human Feedback (RLHF)☆168Updated last year
- All available datasets for Instruction Tuning of Large Language Models☆231Updated 9 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆299Updated 8 months ago