Alternatives and similar repositories for efficient-task-transfer:

Users that are interested in efficient-task-transfer are comparing it to the libraries listed below

• salesforce / QGen
  ☆33Updated last year
• amazon-science / fact-check-summarization
  ☆77Updated last year
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆55Updated 2 years ago
• castorini / mr.tydi
  Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages.
  ☆75Updated 3 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 2 years ago
• suzgunmirac / prompt-and-rerank
  Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Textual Style Transfer
  ☆34Updated 2 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
• laihuiyuan / pre-trained-formality-transfer
  Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer (ACL 2021)
  ☆30Updated 2 years ago
• monologg / EncT5
  Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks
  ☆63Updated 3 years ago
• Yale-LILY / ConvoSumm
  ☆38Updated 2 years ago
• oriram / splinter
  ☆92Updated 3 years ago
• TevenLeScao / pet
  This repository contains the code for "How many data points is a prompt worth?"
  ☆48Updated 4 years ago
• Yale-LILY / dart
  Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"
  ☆153Updated 2 years ago
• cambridgeltl / xcopa
  XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
  ☆103Updated 4 years ago
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆39Updated 2 years ago
• dapascual / K2T
  ☆71Updated 3 years ago
• wzhouad / NLL-IE
  Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021
  ☆55Updated 3 years ago
• violet-zct / fairseq-detect-hallucination
  Detect hallucinated tokens for conditional sequence generation.
  ☆64Updated 3 years ago
• facebookresearch / asset
  A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
  ☆55Updated 2 years ago
• zcgzcgzcg1 / MediaSum
  MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization
  ☆72Updated 3 years ago
• gentaiscool / few-shot-lm
  The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)
  ☆52Updated 2 years ago
• Yale-LILY / QMSum
  Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"
  ☆120Updated last year
• Yale-LILY / DYLE
  Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
  ☆55Updated last year
• ThomasScialom / QuestEval
  ☆97Updated last year
• AkariAsai / CORA
  This is the official implementation of NeurIPS 2021 "One Question Answering Model for Many Languages with Cross-lingual Dense Passage Ret…
  ☆71Updated 3 years ago
• SAP-samples / acl2022-self-contrastive-decorrelation
  Source code for ACL 2022 paper "Self-contrastive Decorrelation for Sentence Embeddings".
  ☆26Updated last month
• diyiy / ACL2022_Limited_Data_Learning_Tutorial
  ☆92Updated 2 years ago
• FUZHIYI / TACO
  Code for the ACL 2022 paper "Contextual Representation Learning beyond Masked Language Modeling"
  ☆34Updated 2 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year