Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
☆107Nov 10, 2023Updated 2 years ago
Alternatives and similar repositories for incontext-learning
Users that are interested in incontext-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆40May 2, 2021Updated 5 years ago
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Mar 20, 2024Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Mar 24, 2023Updated 3 years ago
- TransformerLens + HuggingFace☆11Nov 4, 2023Updated 2 years ago
- ☆35Jul 5, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A TinyStories LM with SAEs and transcoders☆14Apr 3, 2025Updated last year
- ☆10Mar 11, 2022Updated 4 years ago
- ☆122Feb 11, 2025Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Sep 4, 2023Updated 2 years ago
- ☆88Jul 30, 2024Updated last year
- codes and plots for "Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs"☆11Dec 30, 2024Updated last year
- ☆245May 10, 2024Updated 2 years ago
- ☆19Mar 5, 2024Updated 2 years ago
- ☆106Oct 30, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19May 8, 2025Updated last year
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆15Nov 14, 2022Updated 3 years ago
- Face Verification Example with Flower / Federated Learning☆12Apr 3, 2023Updated 3 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Nov 26, 2019Updated 6 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- An implementation of Wasserstein Fair Classification, a conference paper submitted to UAI 2019.☆23Jan 26, 2020Updated 6 years ago
- Recursive Bayesian Networks☆11May 11, 2025Updated last year
- ☆14Nov 26, 2022Updated 3 years ago
- This is the official repo for Towards Uncertainty-Aware Language Agent.☆30Aug 15, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Learning Safety Constraints for Large Language Models (ICML2025)☆35May 25, 2026Updated 2 weeks ago
- Official implementation for "Pruning Randomly Initialized Neural Networks with Iterative Randomization"☆10Oct 5, 2021Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- ☆19Jun 9, 2021Updated 5 years ago
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆109Jul 15, 2023Updated 2 years ago
- Distributional Generalization in NLP. A roadmap.☆87Dec 12, 2022Updated 3 years ago
- ☆51Mar 24, 2023Updated 3 years ago
- Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073☆32Jul 9, 2024Updated last year
- ☆28Nov 28, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆11Apr 15, 2024Updated 2 years ago
- ☆47Oct 11, 2023Updated 2 years ago
- ☆31Mar 17, 2026Updated 2 months ago
- ☆80Jan 23, 2023Updated 3 years ago
- [ICML 2024] Codes for C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models☆18Jun 4, 2024Updated 2 years ago
- Code for paper ”Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability“☆15Jun 13, 2023Updated 3 years ago
- An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi☆274Apr 15, 2023Updated 3 years ago