Alternatives and similar repositories for Shortcutted-Commonsense-Reasoning

Users that are interested in Shortcutted-Commonsense-Reasoning are comparing it to the libraries listed below

• gucci-j / light-transformer-emnlp2021
  EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
  ☆32Updated 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
• yanaiela / pararel
  ☆45Updated last year
• INK-USC / ReCross
  ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation
  ☆24Updated 3 years ago
• INK-USC / rockner
  ☆11Updated 3 years ago
• INK-USC / DIG
  Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)
  ☆27Updated 3 years ago
• wyu97 / RACo
  Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.
  ☆22Updated 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
• DevSinghSachan / syntax-augmented-bert
  Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)
  ☆76Updated 3 years ago
• da03 / Residual-EBM
  Code for Residual Energy-Based Models for Text Generation in PyTorch.
  ☆24Updated 4 years ago
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 3 years ago
• allenai / feb
  Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"
  ☆13Updated 3 years ago
• Pascalson / LERG
  A unified approach to explain conditional text generation models. Pytorch. The code of paper "Local Explanation of Dialogue Response Gene…
  ☆17Updated 3 years ago
• shreydesai / calibration
  Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"
  ☆61Updated 2 years ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• FranxYao / PoincareProbe
  Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces
  ☆58Updated 4 years ago
• INK-USC / XCSR
  Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"
  ☆22Updated 3 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• zhanhl316 / SocialDial
  SocialDial: A Benchmark for Socially-Aware Dialogue Systems (SIGIR'23)
  ☆14Updated 2 years ago
• swarnaHub / ExplaGraphs
  [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
  ☆12Updated 2 years ago
• INK-USC / CALM
  Source code for ICLR 2021 paper : Pre-training Text-to-Text Transformers for Concept-Centric Common Sense
  ☆27Updated 3 years ago
• xiangyue9607 / QVE
  Code for the ACL2022 paper "Synthetic Question Value Estimation for Domain Adaptation of Question Answering"
  ☆17Updated 3 years ago
• yuchenlin / OpenCSR
  Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)
  ☆32Updated 2 years ago
• UVa-NLP / VMASK
  Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"
  ☆17Updated 4 years ago
• john-hewitt / conditional-probing
  Codebase for running (conditional) probing experiments
  ☆22Updated 2 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆55Updated 2 years ago
• jzbjyb / lm-calibration
  ☆35Updated 3 years ago
• SAP-samples / acl2020-commonsense
  Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.
  ☆29Updated last year
• Sachin19 / mucoco
  Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Const…
  ☆62Updated last year