Weicheng Li — accepted AI-conference papers

2025

AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks

Wenhua Zhang, Weicheng Li, Xuanrong Rao, Lixin Zou, Xiangyang Luo, Chubin Zhuang +5

ACL 2025finding

Recent advancements in AI-generated content (AIGC) have heightened concerns about harmful outputs, such as misinformation and malicious misuse.Existing detection methods face two key limitations:(1) lacking real-world AIGC scenarios and corresponding risk datasets, and(2) both traditional and multim…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2025

META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models

Weicheng Li, Lixin Zou, Min Tang, Qing Yu, Wanli Li, Chenliang Li

COLING 2025main

Supervised fine-tuning (SFT) is widely adopted for tailoring large language models (LLMs) to specific downstream tasks. However, the substantial computational demands of LLMs hinder iterative exploration of fine-tuning datasets and accurate evaluation of individual sample importance. To address this…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗