Linguistic Properties of Truthful Response

Language models are few-shot learners

Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901

Earlier work this paper cites.

Reading wikipedia to answer open-domain questions

Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017

Earlier work this paper cites.

Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Mandar Joshi, Eunsol Choi, Daniel S Weld, and Luke Zettlemoyer. 2017 · 2017

Earlier work this paper cites.

Can a suit of armor conduct electricity? a new dataset for open book question answering

Todor Mihaylov, Peter Clark, Tushar Khot, and Ashish Sabharwal. 2018 · 2018

Earlier work this paper cites.

Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, and Christopher D Manning. 2018 · 2018

Earlier work this paper cites.

Deep learning for fake news detection on twitter regarding the 2019 hong kong protests

Alexandros Zervopoulos, Aikaterini Georgia Alvanou, Konstantinos Bezas, Asterios Papamichail, Manolis Maragoudakis, and Katia Kermanidis. 2022 · 2019

Earlier work this paper cites.

Open-domain question answering

Danqi Chen and Wen-tau Yih. 2020 · 2020

Earlier work this paper cites.

Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps

Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, and Akiko Aizawa. 2020 · 2020

Earlier work this paper cites.

Newsbag: A multimodal benchmark dataset for fake news detection

Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, and Tanmoy Chakraborty. 2020 · 2020

Cited alongside, same era.

Automatic evaluation vs. user preference in neural textual QuestionAnswering over COVID-19 scientific literature

Arantxa Otegi, Jon Ander Campos, Gorka Azkune, Aitor Soroa, and Eneko Agirre. 2020 · 2020

Cited alongside, same era.

A hybrid model for fake news detection: Leveraging news content and user comments in fake news

Marwan Albahar. 2021 · 2021

Cited alongside, same era.

Linguistic feature based learning model for fake news detection and classification

Anshika Choudhary and Anuja Arora. 2021 · 2021

Cited alongside, same era.

Pre-trained models: Past, present and future

Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, et al. 2021 · 2021

Cited alongside, same era.

Taxonomy of risks posed by language models

Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, et al. 2022 · 2022

Later among the works it cites.

A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity

Original

Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, et al. 2023 · 2023

Closest in time.

The state of the art in open domain complex question answering: a survey

Romina Etezadi and Mehrnoush Shamsfard. 2023 · 2023

Closest in time.

Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models

Original

Potsawee Manakul, Adian Liusie, and Mark JF Gales. 2023 · 2023

Closest in time.

Augmented language models: a survey

Original