Networks-Learning / counterfactual-llms
Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.
☆25Updated 6 months ago
Alternatives and similar repositories for counterfactual-llms:
Users that are interested in counterfactual-llms are comparing it to the libraries listed below
- Unofficial implementation of Conformal Language Modeling by Quach et al☆28Updated last year
- Extending Conformal Prediction to LLMs☆66Updated 10 months ago
- Efficient Scaling laws and collaborative pretraining.☆16Updated 3 months ago
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 2 years ago
- ☆14Updated last year
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated last year
- ☆29Updated last year
- PyTorch implementation for MRL☆18Updated last year
- Code for "Improving Expert Predictions with Conformal Prediction" , ICML 2023☆11Updated 8 months ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆18Updated last year
- Quantification of Uncertainty with Adversarial Models☆28Updated last year
- ☆23Updated 2 months ago
- Closed-form polynomial approximations to neural networks☆13Updated 3 months ago
- Understanding how features learned by neural networks evolve throughout training☆34Updated 6 months ago
- Code for experiments on self-prediction as a way to measure introspection in LLMs☆13Updated 4 months ago
- Aioli: A unified optimization framework for language model data mixing☆25Updated 3 months ago
- Official PyTorch Implementation for Meaning Representations from Trajectories in Autoregressive Models (ICLR 2024)☆20Updated 11 months ago
- ☆17Updated last month
- A package for conformal prediction with conditional guarantees.☆55Updated 2 months ago
- Sample, estimate, aggregate: A recipe for causal discovery foundation models☆10Updated 10 months ago
- A collection of various LLM sampling methods implemented in pure Pytorch☆23Updated 5 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆66Updated 2 years ago
- 📰 Computing the information content of trained neural networks☆21Updated 3 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 6 months ago
- Simple and scalable tools for data-driven pretraining data selection.☆23Updated 2 months ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- ☆20Updated this week
- ☆26Updated 2 years ago
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆26Updated 6 months ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated last year