Can large language models understand uncommon meanings of common words?

Can large language models understand uncommon meanings of common words?

9 May 2024

Papers citing "Can large language models understand uncommon meanings of common words?"

9 / 9 papers shown

Title
Retrieval-Augmented Generation for AI-Generated Content: A Survey Penghao Zhao Hailin Zhang Qinhan Yu Zhengren Wang Yunteng Geng Fangcheng Fu Ling Yang Wentao Zhang Jie Jiang Bin Cui 3DV 121 232 0 29 Feb 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 176 638 0 17 Oct 2023
The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination Z. Li AILaw SILM 46 34 0 21 Apr 2023
Leveraging Large Language Models for Multiple Choice Question Answering Joshua Robinson Christopher Rytting David Wingate ELM 146 186 0 22 Oct 2022
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts Joel Jang Seonghyeon Ye Minjoon Seo ELM LRM 95 64 0 26 Sep 2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng Jiang RALM AIMat 229 322 0 21 Sep 2022
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 339 12,003 0 04 Mar 2022
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering Yingqi Qu Yuchen Ding Jing Liu Kai Liu Ruiyang Ren Xin Zhao Daxiang Dong Hua Wu Haifeng Wang RALM OffRL 214 594 0 16 Oct 2020
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 297 6,984 0 20 Apr 2018