most citedQUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

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…

cs.LG2025

TripleWin: Fixed-Point Equilibrium Pricing for Data-Model Coupled Markets

Hongrun Ren, Yun Xiong, Lei You +3

The rise of the machine learning (ML) model economy has intertwined markets for training datasets and pre-trained models. However, most pricing approaches still separate data and m…

cs.AI2025★ 1 cited

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…

cs.LG2025

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…

cs.LG2025

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…