# Hugging Face — Introducing HELMET: Holistically Evaluating Long-context Language Models

- Company: Hugging Face (huggingface.co)
- Announced: 2025-04-16T00:00:00+00:00
- Category: research-paper
- Subject: Platform
- Source: https://huggingface.co/blog/helmet
- Record: https://forck.live/items/1712-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.

## Evidence

Verbatim from https://huggingface.co/blog/helmet:

> 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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Record: https://forck.live/items/1712-introducing-helmet-holistically-evaluating-long-context-language-models
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md