microsoft / automated-explanations
Explain a black-box module in natural language.
☆33Updated 3 weeks ago
Related projects: ⓘ
- Minimum Description Length probing for neural network representations☆15Updated 11 months ago
- [ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization☆27Updated last week
- ☆27Updated last year
- A framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings.☆28Updated this week
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆40Updated 8 months ago
- Code and data from the paper 'Human Feedback is not Gold Standard'☆18Updated 2 months ago
- Tasks for describing differences between text distributions.☆15Updated last month
- The official repo of our research work "Interactive Editing for Text Summarization".☆21Updated last year
- Code for our paper Resources and Evaluations for Multi-Distribution Dense Information Retrieval☆14Updated 8 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆37Updated 5 months ago
- ☆25Updated 9 months ago
- Repo for: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment☆37Updated last year
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆27Updated this week
- ☆11Updated 11 months ago
- PyTorch Implementation of the paper "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"☆21Updated last week
- Adding new tasks to T0 without catastrophic forgetting☆30Updated last year
- A weak supervision framework for (partial) labeling functions☆14Updated 2 months ago
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆23Updated last year
- Code and Dataset for Learning to Solve Complex Tasks by Talking to Agents☆21Updated 2 years ago
- Repo for "Smart Word Suggestions" (SWS) task and benchmark☆19Updated 9 months ago
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆15Updated 3 weeks ago
- ☆12Updated 9 months ago
- We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts…☆91Updated last month
- ☆19Updated last year
- ☆16Updated 10 months ago
- Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings☆16Updated last year
- Embedding Recycling for Language models☆38Updated last year
- This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…☆31Updated last year
- This library supports evaluating disparities in generated image quality, diversity, and consistency between geographic regions.☆19Updated 3 months ago
- Few-shot Learning with Auxiliary Data☆26Updated 9 months ago