Seraphina Goldfarb-Tarrant

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Systematic Review

Story Generation

Sentiment Analysis

Top Venues

Publications

Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber
A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. CoRR (2024)
Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. CoRR (2024)
Seraphina Goldfarb-Tarrant, Pedro Rodriguez, Jane Dwivedi-Yu, Patrick S. H. Lewis
MultiContrievers: Analysis of Dense Retrieval Representations. CoRR (2024)
Seraphina Goldfarb-Tarrant, Björn Ross, Adam Lopez
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis. EMNLP (2023)
Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett
This prompt is measuring \textlessmask\textgreater: evaluating bias evaluation in language models. ACL (Findings) (2023)
Seraphina Goldfarb-Tarrant, Adam Lopez, Roi Blanco, Diego Marcheggiani
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages. ACL (Findings) (2023)
Seraphina Goldfarb-Tarrant, Adam Lopez, Roi Blanco, Diego Marcheggiani
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages. CoRR (2023)
Seraphina Goldfarb-Tarrant, Björn Ross, Adam Lopez
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis. CoRR (2023)
Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett
This Prompt is Measuring : Evaluating Bias Evaluation in Language Models. CoRR (2023)
Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov
How Gender Debiasing Affects Internal Model Representations, and Why It Matters. NAACL-HLT (2022)
Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov
How Gender Debiasing Affects Internal Model Representations, and Why It Matters. CoRR (2022)
Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, Mugdha Pandya, Adam Lopez
Intrinsic Bias Metrics Do Not Correlate with Application Bias. ACL/IJCNLP (1) (2021)
Seraphina Goldfarb-Tarrant, Alexander Robertson, Jasmina Lazic, Theodora Tsouloufi, Louise Donnison, Karen Smyth
Scaling Systematic Literature Reviews with Machine Learning Pipelines. SDP@EMNLP (2020)
Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, Mugdha Pandya, Adam Lopez
Intrinsic Bias Metrics Do Not Correlate with Application Bias. CoRR (2020)
Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph M. Weischedel, Nanyun Peng
Content Planning for Neural Story Generation with Aristotelian Rescoring. EMNLP (1) (2020)
Seraphina Goldfarb-Tarrant, Alexander Robertson, Jasmina Lazic, Theodora Tsouloufi, Louise Donnison, Karen Smyth
Scaling Systematic Literature Reviews with Machine Learning Pipelines. CoRR (2020)
Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph M. Weischedel, Nanyun Peng
Content Planning for Neural Story Generation with Aristotelian Rescoring. CoRR (2020)
Seraphina Goldfarb-Tarrant, Haining Feng, Nanyun Peng
Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation. CoRR (2019)
Seraphina Goldfarb-Tarrant, Haining Feng, Nanyun Peng
Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation. NAACL-HLT (Demonstrations) (2019)