ml-feedback-sys / materials-f23Links
☆11Updated 2 years ago
Alternatives and similar repositories for materials-f23
Users that are interested in materials-f23 are comparing it to the libraries listed below
Sorting:
- CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior☆12Updated 3 years ago
- A Toolkit for Distributional Control of Generative Models☆73Updated 4 months ago
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆133Updated last year
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆25Updated 4 years ago
- ☆26Updated 3 years ago
- ☆10Updated 4 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated 2 years ago
- Fair Benchmarks☆10Updated 6 years ago
- ☆45Updated 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
- Tensorflow 2 implementation of Causal-BERT☆73Updated 2 years ago
- ☆14Updated 7 months ago
- ☆29Updated 11 months ago
- The Prism Alignment Project☆86Updated last year
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆13Updated 9 months ago
- ☆12Updated 3 years ago
- This repository contains code for the paper "Better Estimation of the KL Divergence Between Language Models"☆13Updated 6 months ago
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆12Updated 2 years ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆19Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 2 years ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆106Updated 2 years ago
- Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).☆11Updated 4 years ago
- ☆11Updated last year
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 3 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Updated 5 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago
- Code for paper "Conversational Product Search Based on Negative Feedback"☆12Updated 5 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆17Updated 3 years ago
- [ACL 2020] Towards Debiasing Sentence Representations☆66Updated 3 years ago
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆56Updated last month