Alternatives and similar repositories for degen

Users that are interested in degen are comparing it to the libraries listed below

• princeton-nlp / OptiPrompt
  [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240
  ☆168Updated 2 years ago
• dreasysnail / POINTER
  ☆112Updated 3 years ago
• lvyiwei1 / StylePTB
  ☆62Updated 2 years ago
• DevSinghSachan / emdr2
  Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 20…
  ☆109Updated 3 years ago
• cindyxinyiwang / deep-latent-sequence-model
  Pytorch implementation of "A Probabilistic Formulation of Unsupervised Text Style Transfer" by He. et. al. at ICLR 2020
  ☆163Updated 2 years ago
• XinyuHua / pair-emnlp2020
  Official repository for "PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation"
  ☆32Updated 4 years ago
• microsoft / Transformer-XH
  ☆69Updated 4 years ago
• google-research-datasets / xsum_hallucination_annotations
  Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…
  ☆82Updated 4 years ago
• cookielee77 / DAST
  Domain Adaptive Text Style Transfer, EMNLP 2019
  ☆70Updated 5 years ago
• bckim92 / sequential-knowledge-transformer
  Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020 (spotlight)
  ☆129Updated 4 years ago
• qkaren / Counterfactual-StoryRW
  code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076
  ☆101Updated 5 years ago
• Sanyuan-Chen / RecAdam
  Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.
  ☆117Updated 4 years ago
• jind11 / TitleStylist
  Source code for our "TitleStylist" paper at ACL 2020
  ☆76Updated 10 months ago
• jzbjyb / LPAQA
  Language model Prompt And Query Archive
  ☆158Updated 4 years ago
• malllabiisc / SGCP
  TACL 2020: Syntax-Guided Controlled Generation of Paraphrases
  ☆71Updated last year
• ecchochan / roberta-squad
  roBERTa training for SQuAD
  ☆50Updated 5 years ago
• rpryzant / delete_retrieve_generate
  PyTorch implementation of the Delete, Retrieve Generate style transfer algorithm
  ☆132Updated last year
• bozheng-hit / xTune
  ☆50Updated 3 years ago
• MarkWuNLP / Data4StylizedS2S
  The repository contains resources of our paper published at AAAI 2020 ``A Dataset for Low-Resource Stylized Sequence-to-Sequence Generati…
  ☆33Updated 5 years ago
• qkaren / converse_reading_cmr
  code, data, and model for ACL-19 paper "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading"
  ☆77Updated 4 years ago
• yxuansu / TaCL
  [NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
  ☆93Updated 2 years ago
• shmsw25 / Channel-LM-Prompting
  An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"
  ☆131Updated 3 years ago
• ricsinaruto / dialog-eval
  Evaluate your dialog model with 17 metrics! (see paper)
  ☆97Updated 4 years ago
• THUDM / FewNLU
  ☆66Updated 3 years ago
• yxuansu / NAG-BERT
  [EACL'21] Non-Autoregressive with Pretrained Language Model
  ☆62Updated 2 years ago
• tagoyal / sow-reap-paraphrasing
  Contains data/code for the paper "Neural Syntactic Preordering for Controlled Paraphrase Generation" (ACL 2020).
  ☆76Updated 10 months ago
• cambridgeltl / xcopa
  XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
  ☆103Updated 4 years ago
• microsoft / glge
  Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"
  ☆57Updated 2 years ago
• tomhosking / separator
  Code for the paper "Factorising Meaning and Form for Intent-Preserving Paraphrasing", Tom Hosking & Mirella Lapata (ACL 2021)
  ☆27Updated last year
• allenai / flex
  Few-shot NLP benchmark for unified, rigorous eval
  ☆91Updated 2 years ago