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self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.memprompt
A method to fix GPT-3 after deployment with user feedback, without re-training.minimal-text-diffusion
A minimal implementation of diffusion models for text generationpie-perf
Training language models to make programs fastertemporal-graph-gen
Pre-trained models for our work on Temporal Graph Generationllm-reasoning-tutorial
Resources for few-shot reasoning tutorialPML4DC-Comparable-Data-Collection
Code and Data for our work "Practical Comparable Data Collection for Low-Resource Languages via Images"defeasible_graphs
Graphs for defeasible reasoningthinkaboutit
Code, data, and pre-trained models for our EMNLP 2021 paper "Think about it! Improving defeasible reasoning by first modeling the question scenario"Perfsim
Simulator for a system which has servers with load dependent service rates and customers with dynamic queue joining probabilities.Love Open Source and this site? Check out how you can help us