| HateCheck: Functional Tests for Hate Speech Detection Models P Röttger, B Vidgen, D Nguyen, Z Waseem, H Margetts, J Pierrehumbert ACL 2021 (Main) - 🏆 Stanford HAI AI Audit Challenge, 2021 | 207 | 2021 |
| Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks P Röttger, B Vidgen, D Hovy, JB Pierrehumbert NAACL 2022 (Main), 2022 | 109 | 2022 |
| SemEval-2023 Task 10: Explainable Detection of Online Sexism HR Kirk, W Yin, B Vidgen, P Röttger ACL 2023 (Main) - 🏆 Best Task Paper, 2023 | 85 | 2023 |
| The benefits, risks and bounds of personalizing the alignment of large language models to individuals HR Kirk, B Vidgen, P Röttger, SA Hale Nature Machine Intelligence, 2024 | 79* | 2024 |
| Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media P Röttger, JB Pierrehumbert EMNLP 2021 (Findings), 2021 | 56 | 2021 |
| Hatemoji: A test suite and adversarially-generated dataset for benchmarking and detecting emoji-based hate HR Kirk, B Vidgen, P Röttger, T Thrush, SA Hale NAACL 2022 (Main), 2021 | 51 | 2021 |
| Safety-tuned llamas: Lessons from improving the safety of large language models that follow instructions F Bianchi, M Suzgun, G Attanasio, P Röttger, D Jurafsky, T Hashimoto, ... ICLR 2024 (Poster), 2023 | 45 | 2023 |
| XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models P Röttger, HR Kirk, B Vidgen, G Attanasio, F Bianchi, D Hovy NAACL 2024 (Main), 2023 | 42 | 2023 |
| Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models P Röttger, H Seelawi, D Nozza, Z Talat, B Vidgen WOAH at NAACL 2022, 2022 | 40 | 2022 |
| The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values HR Kirk, AM Bean, B Vidgen, P Röttger, SA Hale EMNLP 2023 (Main), 2023 | 17 | 2023 |
| Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models P Röttger, V Hofmann, V Pyatkin, M Hinck, HR Kirk, H Schütze, D Hovy ACL 2024 (Main), 2024 | 11 | 2024 |
| "My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models X Wang, B Ma, C Hu, L Weber-Genzel, P Röttger, F Kreuter, D Hovy, ... ACL 2024 (Findings), 2024 | 11 | 2024 |
| The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics M Orlikowski, P Röttger, P Cimiano, D Hovy ACL 2023 (Main), 2023 | 11 | 2023 |
| Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages P Röttger, D Nozza, F Bianchi, D Hovy EMNLP 2022 (Main), 2022 | 11 | 2022 |
| The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models HR Kirk, A Whitefield, P Röttger, A Bean, K Margatina, J Ciro, R Mosquera, ... arXiv preprint arXiv:2404.16019, 2024 | 8 | 2024 |
| Simplesafetytests: a test suite for identifying critical safety risks in large language models B Vidgen, HR Kirk, R Qian, N Scherrer, A Kannappan, SA Hale, P Röttger arXiv preprint arXiv:2311.08370, 2023 | 8 | 2023 |
| The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising “Alignment” in Large Language Models HR Kirk, B Vidgen, P Röttger, SA Hale NeurIPS 2023 (SoLaR Workshop), 2023 | 5 | 2023 |
| Introducing v0.5 of the AI Safety Benchmark from MLCommons B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ... arXiv preprint arXiv:2404.12241, 2024 | 3 | 2024 |
| Safetyprompts: a systematic review of open datasets for evaluating and improving large language model safety P Röttger, F Pernisi, B Vidgen, D Hovy arXiv preprint arXiv:2404.05399, 2024 | 3 | 2024 |
| Near to Mid-term Risks and Opportunities of Open Source Generative AI F Eiras, A Petrov, B Vidgen, CS de Witt, F Pizzati, K Elkins, ... ICML 2024 (Oral), 2024 | 2 | 2024 |
Bertie VidgenOxford, Turing在 rewire.online 的电子邮件经过验证
