epfl-dlab / invariant-language-modelsLinks
A framework to train language models to learn invariant representations.
☆14Updated 3 years ago
Alternatives and similar repositories for invariant-language-models
Users that are interested in invariant-language-models are comparing it to the libraries listed below
Sorting:
- The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)☆16Updated 2 years ago
- ☆112Updated 3 years ago
- Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Const…☆63Updated last year
- ☆11Updated 4 years ago
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆21Updated 2 years ago
- ☆36Updated last year
- ☆33Updated last year
- ☆54Updated 2 years ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆57Updated 2 years ago
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆27Updated 2 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆103Updated 2 years ago
- ☆24Updated 4 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆41Updated 4 years ago
- Teaching Models to Express Their Uncertainty in Words☆39Updated 3 years ago
- A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning☆11Updated 2 years ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆88Updated 2 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Updated 2 years ago
- ☆46Updated last year
- ☆27Updated 2 years ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆43Updated 2 years ago
- Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.☆23Updated 2 years ago
- [EMNLP 2023] Once Upon a *Time* in *Graph*: Relative-Time Pretraining for Complex Temporal Reasoning☆17Updated 2 years ago
- ☆79Updated 2 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆27Updated last year
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆25Updated 4 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- ☆57Updated 5 months ago
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆48Updated 3 years ago
- Language modeling via stochastic processes. Oral @ ICLR 2022.☆138Updated 2 years ago