Kaleidophon / nlp-uncertainty-zoo
Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
☆52Updated last year
Alternatives and similar repositories for nlp-uncertainty-zoo:
Users that are interested in nlp-uncertainty-zoo are comparing it to the libraries listed below
- Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis☆14Updated 2 years ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆85Updated last year
- Conformal Language Modeling☆28Updated last year
- ☆35Updated 2 years ago
- ☆31Updated 3 years ago
- ☆60Updated 3 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆74Updated last year
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆48Updated 3 years ago
- ☆24Updated 2 years ago
- ☆87Updated last year
- ☆26Updated last year
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆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…☆103Updated last year
- Bayesian low-rank adaptation for large language models☆22Updated 9 months ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆31Updated 3 years ago
- ☆21Updated last year
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆89Updated 3 years ago
- How certain is your transformer?☆25Updated 3 years ago
- ☆64Updated 2 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)☆13Updated 5 months ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆26Updated 9 months ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 2 years ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆19Updated this week
- ☆28Updated 7 months ago
- In-context Example Selection with Influences☆15Updated last year
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆26Updated 2 years ago
- ☆18Updated last year
- ☆52Updated last year