YecanLee/Adaptive-Contrastive-Search

[EMNLP 2024 Findings] Official PyTorch Implementation of "Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation"

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Experimental

This project offers an improved way to generate text that is both creative and consistent. It takes a starting text or prompt and produces diverse, high-quality continuations, perfect for tasks requiring imaginative and coherent writing. Language model developers and researchers can use this to enhance their text generation applications.

No commits in the last 6 months.

Use this if you are a developer working with large language models and want to generate more creative, diverse, and coherent text outputs.

Not ideal if you are an end-user looking for a ready-to-use text generation application without any coding or model integration.

text generation natural language processing language model development AI research creative writing AI
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 5 / 25

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Stars

41

Forks

2

Language

Python

License

MIT

Last pushed

Feb 15, 2025

Commits (30d)

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