| Intrinsic bias metrics do not correlate with application bias S Goldfarb-Tarrant, R Marchant, RM Sánchez, M Pandya, A Lopez arXiv preprint arXiv:2012.15859, 2020 | 134 | 2020 |
| Content planning for neural story generation with aristotelian rescoring S Goldfarb-Tarrant, T Chakrabarty, R Weischedel, N Peng arXiv preprint arXiv:2009.09870, 2020 | 107 | 2020 |
| Plan, write, and revise: an interactive system for open-domain story generation S Goldfarb-Tarrant, H Feng, N Peng arXiv preprint arXiv:1904.02357, 2019 | 60 | 2019 |
| How gender debiasing affects internal model representations, and why it matters H Orgad, S Goldfarb-Tarrant, Y Belinkov arXiv preprint arXiv:2204.06827, 2022 | 22 | 2022 |
| This prompt is measuring< mask>: evaluating bias evaluation in language models S Goldfarb-Tarrant, E Ungless, E Balkir, SL Blodgett arXiv preprint arXiv:2305.12757, 2023 | 12 | 2023 |
| Scaling systematic literature reviews with machine learning pipelines S Goldfarb-Tarrant, A Robertson, J Lazic, T Tsouloufi, L Donnison, ... arXiv preprint arXiv:2010.04665, 2020 | 8 | 2020 |
| Bias beyond English: Counterfactual tests for bias in sentiment analysis in four languages S Goldfarb-Tarrant, A Lopez, R Blanco, D Marcheggiani arXiv preprint arXiv:2305.11673, 2023 | 7 | 2023 |
| Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis S Goldfarb-Tarrant, B Ross, A Lopez arXiv preprint arXiv:2305.12709, 2023 | 1 | 2023 |
| MultiContrievers: Analysis of Dense Retrieval Representations S Goldfarb-Tarrant, P Rodriguez, J Dwivedi-Yu, P Lewis arXiv preprint arXiv:2402.15925, 2024 | | 2024 |
Adam LopezUniversity of EdinburghVerified email at ed.ac.uk
