Introducing HELMET: Holistically Evaluating Long-context Language Models

HELMET introduces a comprehensive benchmark for evaluating long-context language models, addressing the shortcomings of perplexity and synthetic tasks by emphasizing diversity, controllability, and reliability. The blog reports evaluation across 59 LCLMs, highlights real-world task gaps, and provides a quickstart guide and links to code, data, and the paper for practical replication.

Source

HuggingFace Blog

Ingested

APR 16, 2025 · 19:10

Editorial score

5.0 / 5