allenai / few_shot_explanationsLinks
Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"
☆31Updated 2 years ago
Alternatives and similar repositories for few_shot_explanations
Users that are interested in few_shot_explanations are comparing it to the libraries listed below
Sorting:
- ☆24Updated last year
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.☆18Updated 4 years ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆34Updated 3 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆22Updated 5 years ago
- This repo contains code for the paper "Psychologically-informed chain-of-thought prompts for metaphor understanding in large language mod…☆14Updated 2 years ago
- Exploring Few-Shot Adaptation of Language Models with Tables☆24Updated 3 years ago
- Code for ModularQA☆28Updated 4 years ago
- Rationales for Sequential Predictions☆40Updated 3 years ago
- ☆47Updated last year
- State of What Art? A Call for Multi-Prompt LLM Evaluation☆15Updated last year
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆59Updated 2 years ago
- Code release for "TempLM: Distilling Language Models into Template-Based Generators"☆14Updated 3 years ago
- Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"☆25Updated 2 years ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆73Updated 3 years ago
- ☆15Updated 2 years ago
- Code & data for EMNLP 2020 paper "MOCHA: A Dataset for Training and Evaluating Reading Comprehension Metrics".☆16Updated 3 years ago
- Official repository for our EACL 2023 paper "LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization" (https…☆44Updated last year
- Pretraining summarization models using a corpus of nonsense☆13Updated 4 years ago
- ☆13Updated 3 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 3 years ago
- Code for Massive-scale Decoding for Text Generation using Lattices☆44Updated 3 years ago
- Query-focused summarization data☆42Updated 2 years ago
- Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)☆28Updated 3 years ago
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆52Updated 4 years ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆43Updated 2 years ago
- [EMNLP 2020] PyTorch code of PRover: Proof Generation for Interpretable Reasoning over Rules☆19Updated 2 years ago