Separating form and meaning: Using self-consistency to quantify task
understanding across multiple senses

Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses

19 May 2023

Papers citing "Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses"

8 / 8 papers shown

Title
MultiLoKo: a multilingual local knowledge benchmark for LLMs spanning 31 languages Dieuwke Hupkes Nikolay Bogoychev 94 0 0 14 Apr 2025
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models Lynn Chua Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chulin Xie Chiyuan Zhang 51 1 0 23 Jun 2024
The Debate Over Understanding in AI's Large Language Models Melanie Mitchell D. Krakauer ELM 70 197 0 14 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 106 92 0 06 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,217 0 21 Mar 2022
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief Nora Kassner Oyvind Tafjord Hinrich Schütze Peter Clark KELM LRM 231 64 0 29 Sep 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 258 346 0 01 Feb 2021
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