Awesome-LLMs-ICLR-24

About Awesome-LLMs-ICLR-24

Awesome ICLR 2024 LLM Papers Collection This repo contains a comprehensive compilation of LLM papers that were presented at the esteemed International Conference on Learning Representations (ICLR) in the year 2024. 2023-2024 will be full of LLMs and 311 papers shows the evidence. Click to read full abstract and get openreview URL. Detecting Pretraining Data from Large Language Models This paper addresses the challenge of detecting data used to train large language models (LLMs) by proposing a novel method called MIN-K PROB.

large-language-model large-language-models large-language-models-and-translation-systems large-language-models-for-graph-learning llm llm-agent llm-evaluation llm-framework llm-inference llm-privacy

Quick Facts

Stars	66
Forks	4
Category	Agent Tool
License	MIT
Quality Score	48.5390774540323/100
Last Updated	2024-04-04
Created	2024-03-18
Est. Tokens	~64k

Compatible Skills

These tools work well together with Awesome-LLMs-ICLR-24 for enhanced workflows:

SecGPT — semantic(0.31)+complementary+rare_topics+similar_pop (54%)
SimplerLLM — semantic(0.46)+complementary+rare_topics+similar_pop (51%)
vibraniumdome — semantic(0.54)+rare_topics+similar_pop (49%)
nexus — semantic(0.38)+complementary+rare_topics+similar_pop (48%)
mxcp — semantic(0.35)+complementary+rare_topics+similar_pop (47%)

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Frequently Asked Questions

What is Awesome-LLMs-ICLR-24?

Awesome-LLMs-ICLR-24 is It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Representations (ICLR) in 2024.. It is categorized as a Agent Tool with 66 GitHub stars.

How do I install or use Awesome-LLMs-ICLR-24?

You can find installation instructions and usage details in the Awesome-LLMs-ICLR-24 GitHub repository at github.com/azminewasi/Awesome-LLMs-ICLR-24. The project has 66 stars and 4 forks, indicating an active community.

What license does Awesome-LLMs-ICLR-24 use?

Awesome-LLMs-ICLR-24 is released under the MIT license, making it free to use and modify according to the license terms.

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