Large Language Models Lack Understanding of Character Composition of Words

18 May 2024

Papers citing "Large Language Models Lack Understanding of Character Composition of Words"

8 / 8 papers shown

Title
StringLLM: Understanding the String Processing Capability of Large Language Models Xilong Wang Hao Fu Jindong Wang Neil Zhenqiang Gong 49 0 0 28 Jan 2025
Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning Zhu Xu Zhiqiang Zhao Zihan Zhang Yuchi Liu Quanwei Shen Fei Liu Yu Kuang Jian He Conglin Liu 75 1 0 26 Nov 2024
Aligning Generalisation Between Humans and Machines Filip Ilievski Barbara Hammer F. V. Harmelen Benjamin Paassen S. Saralajew ... Vered Shwartz Gabriella Skitalinskaya Clemens Stachl Gido M. van de Ven T. Villmann 66 1 0 23 Nov 2024
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems Nan Xu Xuezhe Ma LRM 36 3 0 18 Oct 2024
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning Nan Xu Fei Wang Sheng Zhang Hoifung Poon Muhao Chen 32 6 0 01 Jul 2024
Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers Libo Qin Qiguang Chen Yuhang Zhou Zhi Chen Yinghui Li Lizi Liao Min Li Wanxiang Che Philip S. Yu LRM 47 36 0 07 Apr 2024
Language Models Don't Learn the Physical Manifestation of Language Bruce W. Lee Jaehyuk Lim LRM 27 3 0 17 Feb 2024
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018