Hugging Face· PlatformResearch paper

Introducing HELMET: Holistically Evaluating Long-context Language Models

This blog introduces HELMET, a comprehensive benchmark for evaluating long-context language models (LCLMs) that addresses limitations of existing evaluations by providing diverse, controllable, and reliable metrics. The benchmark is presented at ICLR 2025.

From the source

In this work, we propose HELMET (How to Evaluate Long-Context Models Effectively and Thoroughly), a comprehensive benchmark for evaluating LCLMs that improves upon existing benchmarks in several ways— diversity, controllability, and reliability.

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Announced

16 Apr 2025 00:00 UTC

Detected

03 Aug 2026 21:12 UTC (+474d after)