EagleW / Stage-wise-Fine-tuningLinks
Code for Stage-wise Fine-tuning for Graph-to-Text Generation
☆26Updated 2 years ago
Alternatives and similar repositories for Stage-wise-Fine-tuning
Users that are interested in Stage-wise-Fine-tuning are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of “Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement”☆62Updated 4 years ago
- ☆15Updated 2 years ago
- ☆49Updated 2 years ago
- Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…☆138Updated 2 years ago
- ☆24Updated last year
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆59Updated 2 years ago
- Apps built using Inspired Cognition's Critique.☆57Updated 2 years ago
- The official implementation of "Distilling Relation Embeddings from Pre-trained Language Models, EMNLP 2021 main conference", a high-qual…☆47Updated last year
- Embedding Recycling for Language models☆38Updated 2 years ago
- Transformers at any scale☆42Updated last year
- ZS4IE: A Toolkit for Zero-Shot Information Extraction with Simple Verbalizations☆29Updated 3 years ago
- ☆54Updated 2 years ago
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆52Updated 4 years ago
- ☆46Updated 3 years ago
- Implementation of Marge, Pre-training via Paraphrasing, in Pytorch☆76Updated 4 years ago
- Dataset from the paper "Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering" (COLING 2022)☆117Updated 3 years ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆74Updated 3 years ago
- ☆35Updated 2 years ago
- ☆59Updated 4 years ago
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆81Updated 3 years ago
- Query-focused summarization data☆42Updated 2 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆57Updated 4 years ago
- Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles☆47Updated last year
- [TMLR'23] Contrastive Search Is What You Need For Neural Text Generation☆121Updated 2 years ago
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆31Updated 2 years ago
- Open source library for few shot NLP☆78Updated 2 years ago
- Implementation of the paper 'Sentence Bottleneck Autoencoders from Transformer Language Models'☆17Updated 3 years ago
- Efficient Memory-Augmented Transformers☆35Updated 3 years ago
- ☆101Updated 3 years ago