S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models¶
Arxiv Link - 2024-04-06 15:20:18
Abstract¶
The rapid development of Large Language Models (LLMs) has led to great strides in model capabilities like long-context understanding and reasoning. However, as LLMs are able to process longer contexts, it becomes more challenging to evaluate whether they have acquired certain capabilities, since the length of text (e.g., 200K tokens) they can process far exceeds what humans can reliably assess in a reasonable duration. In this paper, we propose using complex synthetic tasks as a proxy evaluation method, and present S3Eval, a Synthetic, Scalable, Systematic evaluation suite for LLMs evaluation. The synthetic nature of S3Eval provides users full control over the dataset, allowing them to systematically probe LLM capabilities by scaling text length and varying task difficulty across diverse scenarios. The strong correlation between S3Eval and real-world benchmarks demonstrates the soundness of using S3Eval for evaluation of LLMs. S3Eval provides a flexible and infinite long-context data generation method. We have generated a comprehensive dataset called S3Eval-Standard, and experimental results have shown that it poses significant challenges for all existing LLMs.
Socials¶
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| 🚀 Exciting developments in the field of Large Language Models (LLMs)! A recent paper introduces S3Eval, a Synthetic, Scalable, Systematic evaluation suite designed to assess LLM capabilities in processing long contexts. By utilizing complex synthetic tasks, S3Eval offers a flexible and controlled method to evaluate LLM performance across diverse scenarios. The correlation between S3Eval and real-world benchmarks showcases its effectiveness in gauging LLM capabilities. Experimental results with the S3Eval-Standard dataset have revealed significant challenges for existing LLMs, highlighting the potential of this evaluation method. Read more about S3Eval and its implications for LLM assessment here: http://arxiv.org/abs/2310.15147v2 #AI #NLP #LLMs #Technology #Research #Innovation |
🚀 Exciting development in Large Language Models (LLMs) evaluation! Check out S3Eval, a Synthetic, Scalable, Systematic evaluation suite that challenges existing LLMs with complex synthetic tasks. Learn more at: http://arxiv.org/abs/2310.15147v2 #AI #NLP #LLMs #TechInnovation 🧠🔍 |