tapilab / emnlp-2020-spurious
☆15Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for emnlp-2020-spurious
- ☆14Updated 3 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 3 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆11Updated last year
- Tensorflow implementation of Invariant Rationalization☆48Updated last year
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 3 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆55Updated 4 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 2 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆17Updated 3 years ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆23Updated 3 years ago
- Zero-shot Learning by Generating Task-specific Adapters☆14Updated 3 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- The source code of "Empowering Language Understanding with Counterfactual Reasoning" (ACL'21)☆11Updated 3 years ago
- A dataset for realistic evaluation of noisy label methods☆14Updated 11 months ago
- ☆10Updated 3 years ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆20Updated 4 years ago
- Explaining neural decisions contrastively to alternative decisions.☆23Updated 3 years ago
- Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)☆31Updated last year
- ☆20Updated 3 years ago
- Materials for paper "Are Large Language Models Temporally Grounded?"☆9Updated last year
- ☆25Updated 3 years ago
- A comparison of human attention with computational attention mechanisms☆12Updated 4 years ago
- ☆22Updated 3 years ago
- [NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-based Active Self-Training for Active Fine-Tuning of Pretrained Lan…☆14Updated 2 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 3 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 2 years ago
- ☆13Updated last year
- Complexity Based Prompting for Multi-Step Reasoning☆14Updated last year
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆26Updated last year