JeremyAlain / imitation_learning_from_language_feedbackLinks
This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
☆27Updated 2 years ago
Alternatives and similar repositories for imitation_learning_from_language_feedback
Users that are interested in imitation_learning_from_language_feedback are comparing it to the libraries listed below
Sorting:
- Few-shot Learning with Auxiliary Data☆28Updated last year
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆23Updated 4 years ago
- Exploring Few-Shot Adaptation of Language Models with Tables☆23Updated 2 years ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆55Updated 2 years ago
- Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings☆16Updated 2 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- ☆22Updated 2 years ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆31Updated 3 years ago
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆31Updated 2 years ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- ☆67Updated 2 years ago
- Code and data for paper "On the Robustness of Reading Comprehension Models to Entity Renaming" (NAACL'22)☆11Updated 2 years ago
- In-context Example Selection with Influences☆15Updated 2 years ago
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆21Updated 4 years ago
- ☆13Updated 4 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- ☆29Updated 3 years ago
- Learning to Model Editing Processes☆26Updated 3 years ago
- ☆24Updated 9 months ago
- [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning☆11Updated 2 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- ☆50Updated 3 years ago
- [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf☆24Updated last year
- Unifew: Unified Fewshot Learning Model☆18Updated 3 years ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆42Updated 2 years ago
- Tasks for describing differences between text distributions.☆16Updated 9 months ago
- Transfer Learning in Dialogue Benchmarking Toolkit☆14Updated 2 years ago
- Suite of 500 procedurally-generated NLP tasks to study language model adaptability☆21Updated 2 years ago
- Code for 'Contrastive Multi-Document Question Generation'☆11Updated 2 years ago