The Effect of Scaling, Retrieval Augmentation and Form on the Factual
Consistency of Language Models

The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models

2 November 2023

Lovisa Hagström

Denitsa Saynova

Richard Johansson

Papers citing "The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models"

9 / 9 papers shown

Title
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Feiyang Li Peng Fang Zhan Shi Arijit Khan Fang Wang Dan Feng Weihao Wang Xin Zhang Yongjian Cui ReLM LRM 43 1 0 18 Apr 2025
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models M. Farahani Richard Johansson RALM 31 2 0 07 Oct 2024
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks Yuxiang Wu Yu Zhao Baotian Hu Pasquale Minervini Pontus Stenetorp Sebastian Riedel RALM KELM 48 43 0 30 Oct 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it? Tobias Norlund Lovisa Hagström Richard Johansson 32 25 0 23 Sep 2021
Entity-Based Knowledge Conflicts in Question Answering Shayne Longpre Kartik Perisetla Anthony Chen Nikhil Ramesh Chris DuBois Sameer Singh HILM 245 237 0 10 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 263 346 0 01 Feb 2021
Modeling Content and Context with Deep Relational Learning Maria Leonor Pacheco Dan Goldwasser NAI 38 34 0 20 Oct 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 415 2,586 0 03 Sep 2019