Seraphina Goldfarb-Tarrant
17 papers · 2019–2026 · 5 venues · across top CS/AI venues
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large language model
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gender bia
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language model
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multilingual nlp
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sentiment analysis
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intrinsic bia
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bias evaluation
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information-theoretic probing
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cross-lingual transfer
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story generation
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ai safety
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educational technology
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direct preference optimization
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responsible ai
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bias detection
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plan generation
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binary classification
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Papers
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
ACL 2026
MAPS: A Multilingual Benchmark for Agent Performance and Security
EACL 2026
A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users
EMNLP 2025
Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts
ACL 2025
Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts
IJCNLP 2025
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick
EMNLP 2024
MultiContrievers: Analysis of Dense Retrieval Representations
EMNLP 2024
Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias
ACL 2024
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm
EMNLP 2024
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages
ACL 2023
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis
EMNLP 2023
This prompt is measuring <mask>: evaluating bias evaluation in language models
ACL 2023
How Gender Debiasing Affects Internal Model Representations, and Why It Matters
NAACL 2022
Intrinsic Bias Metrics Do Not Correlate with Application Bias
ACL 2021
Content Planning for Neural Story Generation with Aristotelian Rescoring
EMNLP 2020
Scaling Systematic Literature Reviews with Machine Learning Pipelines
EMNLP 2020
Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation
NAACL 2019