MuLD: The Multitask Long Document Benchmark

MuLD: The Multitask Long Document Benchmark

International Conference on Language Resources and Evaluation (LREC), 2022

15 February 2022

Noura Al Moubayed

ArXiv (abs)PDF HTML

Papers citing "MuLD: The Multitask Long Document Benchmark"

8 / 8 papers shown

Title
Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs Norman Paulsen 84 0 0 21 Sep 2025
Lost in the Haystack: Smaller Needles are More Difficult for LLMs to Find Owen Bianchi Mathew J. Koretsky Maya Willey Chelsea X. Alvarado Tanay Nayak Adi Asija Nicole Kuznetsov M. Nalls F. Faghri Daniel Khashabi 204 3 0 23 May 2025
The Use of Gaze-Derived Confidence of Inferred Operator Intent in Adjusting Safety-Conscious Haptic Assistance Jeremy D. Webb Michael Bowman Songpo Li Xiaoli Zhang 256 0 0 04 Apr 2025
Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks Mathis Pink Vy A. Vo Qinyuan Wu Jianing Mu Javier S. Turek Uri Hasson K. A. Norman Sebastian Michelmann Alexander G. Huth Mariya Toneva 186 7 0 10 Oct 2024
One Thousand and One Pairs: A "novel" challenge for long-context language models Marzena Karpinska Katherine Thai Kyle Lo Tanya Goyal Mohit Iyyer LRM 360 69 0 24 Jun 2024
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents Tamara Czinczoll Christoph Hones Maximilian Schall Gerard de Melo 208 5 0 27 Feb 2024
DLUE: Benchmarking Document Language UnderstandingChina National Conference on Chinese Computational Linguistics (CNCCL), 2023 Ruoxi Xu Hongyu Lin Xinyan Guan Xianpei Han Yingfei Sun Le Sun ELM 180 0 0 16 May 2023
Investigating Efficiently Extending Transformers for Long Input SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Jason Phang Yao-Min Zhao Peter J. Liu RALM LLMAG 150 70 0 08 Aug 2022