Alternatives and similar repositories for cotrain-prompting

Users that are interested in cotrain-prompting are comparing it to the libraries listed below

• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 3 years ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• rz-zhang / PRBoost
  The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
  ☆35Updated 3 years ago
• sunlab-osu / ReasonBERT
  Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021
  ☆29Updated 2 years ago
• yanaiela / pararel
  ☆45Updated last year
• oriram / spider
  ☆54Updated 2 years ago
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆61Updated 2 years ago
• gucci-j / light-transformer-emnlp2021
  EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
  ☆32Updated 3 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆56Updated 2 years ago
• Mihir3009 / In-BoXBART
  In-BoXBART: Get Instructions into Biomedical Multi-task Learning
  ☆14Updated 3 years ago
• allenai / feb
  Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"
  ☆13Updated 3 years ago
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 3 years ago
• jzbjyb / lm-calibration
  ☆35Updated 3 years ago
• swj0419 / kNN_prompt
  TBC
  ☆27Updated 2 years ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated last year
• oriyor / turning_tables
  Implementation of the paper: "Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning…
  ☆22Updated 3 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• allenai / few_shot_explanations
  Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"
  ☆31Updated 2 years ago
• allenai / flex
  Few-shot NLP benchmark for unified, rigorous eval
  ☆92Updated 3 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• McGill-NLP / FaithDial
  ☆51Updated 2 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• TevenLeScao / pet
  This repository contains the code for "How many data points is a prompt worth?"
  ☆48Updated 4 years ago
• Alibaba-NLP / MuVER
  [EMNLP 2021] MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
  ☆31Updated 3 years ago
• INK-USC / ReCross
  ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation
  ☆24Updated 3 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆77Updated 2 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆68Updated 2 years ago
• jjzha / cartography-al
  Code base for the EMNLP 2021 Findings paper: Cartography Active Learning
  ☆14Updated 2 months ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆139Updated 3 years ago