Alternatives and similar repositories for automatic-rule-induction

Users that are interested in automatic-rule-induction are comparing it to the libraries listed below

• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• JunShern / few-shot-adaptation
  Exploring Few-Shot Adaptation of Language Models with Tables
  ☆24Updated 3 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 3 years ago
• clinicalml / cotrain-prompting
  Code for co-training large language models (e.g. T0) with smaller ones (e.g. BERT) to boost few-shot performance
  ☆17Updated 2 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆50Updated 2 years ago
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 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
• allenai / dream
  ☆24Updated last year
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆56Updated 2 years ago
• facebookresearch / UNIREX
  This is the official PyTorch repo for "UNIREX: A Unified Learning Framework for Language Model Rationale Extraction" (ICML 2022).
  ☆26Updated 2 years ago
• aliborji / ChatGPT_Failures
  A categorical archive of ChatGPT failures
  ☆64Updated 2 years ago
• terrierteam / pyterrier_doc2query
  ☆37Updated last week
• ruiqi-zhong / Meta-tuning
  EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
  ☆50Updated 3 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
• facebookresearch / concurrentqa
  This repo contains data and code for the paper "Reasoning over Public and Private Data in Retrieval-Based Systems."
  ☆46Updated last year
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 3 years ago
• allenai / few_shot_explanations
  Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"
  ☆31Updated 2 years ago
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆58Updated 2 years ago
• idiap / g2g-transformer
  Pytorch implementation of “Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement”
  ☆62Updated 4 years ago
• allenai / smashed
  SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…
  ☆33Updated last year
• kayoyin / interpret-lm
  Interpreting Language Models with Contrastive Explanations (EMNLP 2022 Best Paper Honorable Mention)
  ☆62Updated 3 years ago
• ZihanWangKi / GoalEx
  Implementation of the Paper "Goal-Driven Explainable Clustering via Language Descriptions"
  ☆40Updated 2 years ago
• allenai / flex
  Few-shot NLP benchmark for unified, rigorous eval
  ☆92Updated 3 years ago
• princeton-nlp / align-mlm
  ☆13Updated 2 years ago
• oriram / spider
  ☆54Updated 2 years ago
• carolinlawrence / gradient-rollback
  Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…
  ☆21Updated 4 years ago
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆99Updated 2 years ago
• ZihanWangKi / XClass
  ☆59Updated 4 years ago
• viswavi / few-shot-clustering
  ☆78Updated 11 months ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 2 years ago