Publications (4)
Is There Any Social Principle for LLM-Based Agents?
Jitao Bai, Simiao Zhang, Zhonghao Chen
Focus on Large Language Model based agents should involve more than "human-centered" alignment or application. We argue that more attention should be paid to the agent itself and d…
Experimenting a New Programming Practice with LLMs
Simiao Zhang, Jiaping Wang, Guoliang Dong +3
The recent development on large language models makes automatically constructing small programs possible. It thus has the potential to free software engineers from low-level coding…
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework
Simiao Zhang, Jitao Bai, Menghong Guan +4
Machine learning is widely used to make decisions with societal impact such as bank loan approving, criminal sentencing, and resume filtering. How to ensure its fairness while main…
LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations
Jiaping Wang, Simiao Zhang, Qiao-Chu He +1
The machine learning and data science community has made significant while dispersive progress in accelerating transformer-based large language models (LLMs), and one promising app…