325 citations · 1.2k across the 56 of their papers we have counts for
8 papers · 2 filters
The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
Hannah Rose Kirk, Bertie Vidgen, Paul Röttger +1
In this paper, we address the concept of "alignment" in large language models (LLMs) through the lens of post-structuralist socio-political theory, specifically examining its paral…
SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models
Bertie Vidgen, Nino Scherrer, Hannah Rose Kirk +4
The past year has seen rapid acceleration in the development of large language models (LLMs). However, without proper steering and safeguards, LLMs will readily follow malicious in…
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values
Hannah Rose Kirk, Andrew M. Bean, Bertie Vidgen +2
Human feedback is increasingly used to steer the behaviours of Large Language Models (LLMs). However, it is unclear how to collect and incorporate feedback in a way that is efficie…
Factuality Challenges in the Era of Large Language Models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15
The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention. These incre…
Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution
Dorian Quelle, Calvin Cheng, Alexandre Bovet +1
Misinformation and disinformation are growing threats in the digital age, affecting people across languages and borders. However, no research has investigated the prevalence of mul…
Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models
Khyati Khandelwal, Manuel Tonneau, Andrew M. Bean +2
Large Language Models (LLMs), now used daily by millions, can encode societal biases, exposing their users to representational harms. A large body of scholarship on LLM bias exists…