1 citations · 1 across the 1 of their papers we have counts for
4 papers
Epistemic Throughput: Fundamental Limits of Attention-Constrained Inference
Lei You
Recent generative and tool-using AI systems can surface a large volume of candidates at low marginal cost, yet only a small fraction can be checked carefully. This creates a decode…
QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL
Cong Yu, Valter Uotila, Shilong Deng +5
Designing and optimizing task-specific quantum circuits are crucial to leverage the advantage of quantum computing. Recent large language model (LLM)-based quantum circuit generati…
Algorithmic Fairness: Not a Purely Technical but Socio-Technical Property
Yijun Bian, Lei You, Yuya Sasaki +2
The rapid trend of deploying artificial intelligence (AI) and machine learning (ML) systems in socially consequential domains has raised growing concerns about their trustworthines…
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
Lin Zhu, Yijun Bian, Lei You
Ensuring fairness in machine learning models is critical, particularly in high-stakes domains where biased decisions can lead to serious societal consequences. Existing preprocessi…