FLIRT: Feedback Loop In-context Red Teaming

Sentence-bert: Sentence embeddings using siamese bert-networks

Original

Nils Reimers and Iryna Gurevych. 2019 · 2019

Earlier work this paper cites.

The pile: An 800gb dataset of diverse text for language modeling

Original

Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, et al. 2020 · 2020

Earlier work this paper cites.

GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow

Sid Black, Gao Leo, Phil Wang, Connor Leahy, and Stella Biderman. 2021 · 2021

Earlier work this paper cites.

Neural path hunter: Reducing hallucination in dialogue systems via path grounding

Nouha Dziri, Andrea Madotto, Osmar Zaïane, and Avishek Joey Bose. 2021 · 2021

Earlier work this paper cites.

The magazine archive includes every article published in communications of the acm for over the past 50 years

Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. 2021 · 2021

Earlier work this paper cites.

Bot-adversarial dialogue for safe conversational agents

Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, and Emily Dinan. 2021 · 2021

Earlier work this paper cites.

Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned

Original

Deep Ganguli, Liane Lovitt, Jackson Kernion, Amanda Askell, Yuntao Bai, Saurav Kadavath, Ben Mann, Ethan Perez, Nicholas Schiefer, Kamal Ndousse, et al. 2022 · 2022

Earlier work this paper cites.

ToxiGen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection

Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, and Ece Kamar. 2022 · 2022

Earlier work this paper cites.

Robust conversational agents against imperceptible toxicity triggers

Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, and Aram Galstyan. 2022 · 2022

Cited alongside, same era.

Dall·e 2 preview - risks and limitations

Pamela Mishkin, Lama Ahmad, Miles Brundage, Gretchen Krueger, and Girish Sastry. 2022 · 2022

Cited alongside, same era.

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

Cited alongside, same era.

Hierarchical text-conditional image generation with clip latents

Original

Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022

Cited alongside, same era.

Red-teaming the stable diffusion safety filter

Original

Javier Rando, Daniel Paleka, David Lindner, Lennard Heim, and Florian Tramèr. 2022 · 2022

Cited alongside, same era.

Chatgpt: Optimizing language models for dialogue

OpenAI Team. 2022 · 2022

Later among the works it cites.

Falcon-40B: an open large language model with state-of-the-art performance

Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Merouane Debbah, Etienne Goffinet, Daniel Heslow, Julien Launay, Quentin Malartic, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo. 2023 · 2023

Closest in time.

Explore, establish, exploit: Red teaming language models from scratch

Original

Stephen Casper, Jason Lin, Joe Kwon, Gatlen Culp, and Dylan Hadfield-Menell. 2023 · 2023

Closest in time.

Query-efficient black-box red teaming via Bayesian optimization

Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, and Hyun Oh Song. 2023 · 2023

Closest in time.

Gpt-4 technical report

Original

OpenAI. 2023 · 2023

Closest in time.