Shuangyi Chen — accepted AI-conference papers

2026

Black-Box Detection of LLM-Generated Text Using Generalized Jensen Shannon Divergence

ICML 2026poster

We study black-box detection of machine-generated text under practical constraints: the scoring model (proxy LM) may mismatch the unknown source model, and per-input contrastive generation is costly. We propose SurpMark, a reference-based detector that summarizes a passage by the dynamics of its tok…

Cited by 1 Source ↗Scholar ↗

2025

Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA

Shuangyi Chen, Yuanxin Guo, Yue Ju, Hardik Dalal, Zhongwen Zhu, Ashish J Khisti

NeurIPS 2025poster

Parameter-Efficient Fine-Tuning (PEFT) methods like Low-Rank Adaptation (LoRA) optimize federated training by reducing computational and communication costs. We propose RoLoRA, a federated framework using alternating optimization to fine-tune LoRA adapters. Our approach emphasizes the importance of…

Cited by 0 Source ↗Scholar ↗