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:
- ☆24Updated 9 months ago
- Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles☆44Updated last year
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models☆11Updated 2 years ago
- Multilingual Compositional Wikidata Questions (MCWQ)☆18Updated 2 years ago
- ☆33Updated 2 years ago
- ☆19Updated 3 years ago
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆31Updated 2 years ago
- Repository for Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts, EMNLP22☆19Updated 2 years ago
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆50Updated 3 years ago
- ☆38Updated 2 years ago
- Corpus exploration platform using advanced tools such as interactive summarization and multi document coreference resolution☆12Updated 2 years ago
- [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees☆24Updated 2 years ago
- Learning to Model Editing Processes☆26Updated 3 years ago
- The corresponding code for our paper: "Exploring the Challenges of Open Domain Multi-Document Summarization". Do not hesitate to open an …☆32Updated 2 years ago
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆39Updated 2 years ago
- Large-scale query-focused multi-document Summarization dataset☆10Updated 3 years ago
- Few-shot Learning with Auxiliary Data☆28Updated last year
- Code for ModularQA☆28Updated 4 years ago
- 🌾 Universal, customizable and deployable fine-grained evaluation for text generation.☆23Updated last year
- The official implementation of "Distilling Relation Embeddings from Pre-trained Language Models, EMNLP 2021 main conference", a high-qual…☆47Updated 6 months ago
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆21Updated 4 months ago
- ☆25Updated 2 years ago
- Knowledge graph based information retrieval☆13Updated 6 years ago
- Pytorch implementation of “Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement”☆62Updated 4 years ago
- [ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators☆24Updated last year
- Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"☆64Updated 3 years ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆73Updated 2 years ago
- Source code for the GPT-2 story generation models in the EMNLP 2020 paper "STORIUM: A Dataset and Evaluation Platform for Human-in-the-Lo…☆39Updated last year
- Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"☆67Updated 3 years ago