M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context
Evaluation Benchmark for Large Language Models

M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models

30 October 2023

Xingshan Zeng

Lifeng Shang

Qun Liu

Papers citing "M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models"

5 / 5 papers shown

Title
CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning Hao Cui Zahra Shamsi Gowoon Cheon Xuejian Ma Shutong Li ... Eun-Ah Kim M. Brenner Viren Jain Sameera Ponda Subhashini Venugopalan ELM LRM 57 0 0 14 Mar 2025
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems Philippe Laban Alexander R. Fabbri Caiming Xiong Chien-Sheng Wu RALM 48 41 0 01 Jul 2024
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention Kaiqiang Song Xiaoyang Wang Sangwoo Cho Xiaoman Pan Dong Yu 29 7 0 14 Dec 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,953 0 04 Mar 2022
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 253 695 0 27 Aug 2021