Fei Fang

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training

2022 · arXiv (Cornell University)

Robust Reinforcement Learning (RL) focuses on improving performances under model errors or adversarial attacks, which facilitates the real-life deployment of RL agents. Robust Adversarial Reinforcement Learning (RARL) is one of the most popular frameworks for …

Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content

2024 · arXiv (Cornell University)

Cosine similarity between two documents can be computed using token embeddings formed by Large Language Models (LLMs) such as GPT-4, and used to categorize those documents across a range of uses. However, these similarities are …

REALM: A Dataset of Real-World LLM Use Cases

2025

Large Language Models (LLMs), such as the GPT series, have driven significant industrial applications, leading to economic and societal transformations.However, a comprehensive understanding of their real-world applications remains limited.To address this, we introduce REALM, a …