Fetching the paper…
Reading the bibliography…
We consider the problem of red teaming LLMs on elementary calculations and algebraic tasks to evaluate how various prompting techniques affect the quality of outputs.
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan McDonald. 2020 · 1919
Earlier work this paper cites.
A Puzzle-Based Dataset for Natural Language Inference
Roxana Szomiu and Adrian Groza. 2021 · 2021
Earlier work this paper cites.
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli, Liane Lovitt, Jackson Kernion, Amanda Askell, Yuntao Bai, Saurav Kadavath, Ben Mann, Ethan Perez, Nicholas Schiefer, Kamal Ndousse, Andy Jones, Sam Bowman, Anna Chen, Tom Conerly, Nova DasSarma, Dawn Drain, Nelson Elhage, Sheer El-Showk, Stanislav Fort, Zac Hatfield-Dodds, Tom Henighan, Danny Hernandez, Tristan Hume, Josh Jacobson, Scott Johnston, Shauna Kravec, Catherine Olsson, Sam Ringer, Eli Tran-Johnson, Dario Amodei, Tom Brown, Nicholas Joseph, Sam McCandlish, Chris Olah, Jared Kaplan, and Jack Clark. 2022 · 2022
Earlier work this paper cites.
Red Teaming Language Models with Language Models
Ethan Perez, Saffron Huang, Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, and Geoffrey Irving. 2022 · 2022
Earlier work this paper cites.
Artificial hallucinations in ChatGPT: implications in scientific writing
Hussam Alkaissi and Samy I McFarlane. 2023 · 2023
Earlier work this paper cites.
Structured LLM Red-teaming
Leon Derczynski. 2023 · 2023
Cited alongside, same era.
Assessing Language Model Deployment with Risk Cards
Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, M. R. Leiser, and Saif Mohammad. 2023 · 2023
Cited alongside, same era.
Mathematical capabilities of ChatGPT
Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, and Julius Berner. 2023 · 2023
Cited alongside, same era.
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz. 2023 · 2023
Cited alongside, same era.
Mathprompter: Mathematical reasoning using large language models
How do you feel? measuring user-perceived value for rejecting machine decisions in hate speech detection
Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, and Jie Yang. 2023 · 2023
Closest in time.
Introduction to red teaming large language models (LLMs)
Microsoft. 2023 · 2023
Closest in time.
GPT-4 Technical Report
OpenAI. 2023 · 2023
Closest in time.
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxin Jiao, Yue Zhang, and Xing Xie. 2023 · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Shima Imani, Liang Du, and Harsh Shrivastava. 2023 · 2023
Cited alongside, same era.