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Elizabeth Black

3 accepted papers

2026

Fairness Aware Reinforcement Learning via Proximal Policy Optimization

AAAI 2026technical

Fairness in multi-agent systems (MAS) focuses on equitable reward distribution among agents in scenarios involving sensitive attributes such as race, gender, or socioeconomic status. This paper introduces fairness in Proximal Policy Optimization (PPO) with a penalty term derived from a fairness defi

Cited by 0SourcePDFScholar
2026

TSM-Bench: Detecting LLM-Generated Text in Real-World Wikipedia Editing Practices

ICLR 2026poster

Automatically detecting machine-generated text (MGT) is critical to maintaining the knowledge integrity of user-generated content (UGC) platforms such as Wikipedia. Existing detection benchmarks primarily focus on \textit{generic} text generation tasks (e.g., ``Write an article about machine learni…

Cited by 0SourceScholar
2025

Large Language Models Miss the Multi-agent Mark

NeurIPS 2025poster

Recent interest in Multi-Agent Systems of Large Language Models (MAS LLMs) has led to an increase in frameworks leveraging multiple LLMs to tackle complex tasks. However, much of this literature appropriates the terminology of MAS without engaging with its foundational principles. In this position…

Cited by 0SourceScholar