Alternatives and similar repositories for Discriminator-Cooperative-Unlikelihood-Prompt-Tuning

Users that are interested in Discriminator-Cooperative-Unlikelihood-Prompt-Tuning are comparing it to the libraries listed below

• shuo-git / VecConstNMT
  ☆25Updated 3 years ago
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆153Updated 2 years ago
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆44Updated 3 years ago
• prakharguptaz / Instructdial
  Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
  ☆100Updated 2 years ago
• Adaxry / Post-Instruction
  ☆21Updated 2 years ago
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆62Updated 9 months ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated 2 years ago
• PlusLabNLP / AESOP
  Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)
  ☆26Updated 3 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆69Updated 3 years ago
• Yale-LILY / DYLE
  Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
  ☆55Updated 2 years ago
• shiquanyang / NS-Dial
  An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation
  ☆23Updated 3 years ago
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆46Updated 3 years ago
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆44Updated 3 years ago
• Yushi-Hu / IC-DST
  Code base of In-Context Learning for Dialogue State tracking
  ☆45Updated 2 years ago
• thu-coai / NAST
  Codes for "NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer" (ACL 2021 findings)
  ☆15Updated 4 years ago
• FUZHIYI / TACO
  Code for the ACL 2022 paper "Contextual Representation Learning beyond Masked Language Modeling"
  ☆33Updated 3 years ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆142Updated 3 years ago
• BinWang28 / EvalRank-Embedding-Evaluation
  ACL 2022: Just Rank: Rethinking Evaluation with Word and Sentence Similarities
  ☆35Updated 2 years ago
• Spico197 / awesome-lm-evaluation
  🩺 A collection of ChatGPT evaluation reports on various bechmarks.
  ☆50Updated 2 years ago
• krystalan / chatgpt_as_nlg_evaluator
  Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
  ☆43Updated 2 years ago
• microsoft / UniSumm
  UNISUMM: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning
  ☆61Updated 2 years ago
• violet-zct / fairseq-detect-hallucination
  Detect hallucinated tokens for conditional sequence generation.
  ☆64Updated 3 years ago
• shizhediao / T-DNA
  Source code for the ACL-IJCNLP 2021 paper entitled "T-DNA: Taming Pre-trained Language Models with N-gram Representations for Low-Resourc…
  ☆19Updated 2 years ago
• McGill-NLP / FaithDial
  ☆50Updated 2 years ago
• lemaoliu / retrieval-generation-reading-list
  This project maintains a reading list for general text generation tasks
  ☆66Updated 4 years ago
• ChenxinAn-fdu / CoLo
  [COLING'22] Code for our paper: "COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization"
  ☆22Updated 3 years ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆28Updated last year
• swj0419 / kNN_prompt
  TBC
  ☆27Updated 3 years ago
• jcyk / copyisallyouneed
  Code for our ACL2021 paper Neural Machine Translation with Monolingual Translation Memory
  ☆82Updated 2 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated 2 years ago