microsoft / automated-brain-explanationsLinks
Generating and validating natural-language explanations for the brain.
☆52Updated this week
Alternatives and similar repositories for automated-brain-explanations
Users that are interested in automated-brain-explanations are comparing it to the libraries listed below
Sorting:
- Aioli: A unified optimization framework for language model data mixing☆27Updated 5 months ago
- Tasks for describing differences between text distributions.☆16Updated 10 months ago
- Minimum Description Length probing for neural network representations☆18Updated 4 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆42Updated 3 months ago
- Code and Dataset for Learning to Solve Complex Tasks by Talking to Agents☆24Updated 3 years ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆43Updated last year
- [ACL 2023] Gradient Ascent Post-training Enhances Language Model Generalization☆29Updated 9 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆57Updated 9 months ago
- Official PyTorch Implementation for Meaning Representations from Trajectories in Autoregressive Models (ICLR 2024)☆21Updated last year
- The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…☆34Updated last year
- Code and data from the paper 'Human Feedback is not Gold Standard'☆19Updated 11 months ago
- The official repo of our research work "Interactive Editing for Text Summarization".☆22Updated 2 years ago
- Code for RATIONALYST: Pre-training Process-Supervision for Improving Reasoning https://arxiv.org/pdf/2410.01044☆33Updated 8 months ago
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆23Updated last month
- ☆25Updated last year
- ☆24Updated 4 months ago
- ☆25Updated 2 years ago
- We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts…☆94Updated 11 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆30Updated 5 months ago
- This repository includes code for the paper "Does Localization Inform Editing? Surprising Differences in Where Knowledge Is Stored vs. Ca…☆61Updated 2 years ago
- [NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Lea…☆74Updated last year
- https://footprints.baulab.info☆17Updated 8 months ago
- ☆29Updated 2 years ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆95Updated 3 weeks ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆37Updated 7 months ago
- Repo for: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment☆38Updated 2 years ago
- ☆18Updated 11 months ago
- ☆15Updated 2 months ago
- ☆20Updated 11 months ago
- ☆19Updated last month