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Fei Zheng

3 accepted papers

2025

A Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and Experiences

ACL 2025finding

While progress has been made in legal applications, law reasoning, crucial for fair adjudication, remains unexplored. We propose a transparent law reasoning schema enriched with hierarchical factum probandum, evidence, and implicit experience, enabling public scrutiny and preventing bias. Inspired b…

Cited by 0SourcePDFScholar
2024

Protecting Split Learning by Potential Energy Loss

IJCAI 2024poster

As a practical privacy-preserving learning method, split learning has drawn much attention in academia and industry. However, its security is constantly being questioned since the intermediate results are shared during training and inference. In this paper, we focus on the privacy leakage from the f…

Cited by 0SourcePDFScholar
2023

Reducing Communication for Split Learning by Randomized Top-k Sparsification

IJCAI 2023poster

Split learning is a simple solution for Vertical Federated Learning (VFL), which has drawn substantial attention in both research and application due to its simplicity and efficiency. However, communication efficiency is still a crucial issue for split learning. In this paper, we investigate multipl…

Cited by 12SourcePDFScholar