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MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models

MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models

Zhongzhan Huang
Guoming Ling
Shanshan Zhong
Hefeng Wu
Liang Lin
ArXiv (abs)PDFHTML

Papers citing "MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models"

2 / 2 papers shown
Title
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Satyapriya Krishna
Kalpesh Krishna
Anhad Mohananey
Steven Schwarcz
Adam Stambler
Shyam Upadhyay
Manaal Faruqui
ReLM3DVLRMRALM
99
30
0
28 Jan 2025
How to Train Long-Context Language Models (Effectively)
How to Train Long-Context Language Models (Effectively)
Tianyu Gao
Alexander Wettig
Howard Yen
Danqi Chen
RALM
202
48
0
03 Oct 2024