Botian Jiang

Hi! I am a first year M.S. student of NLP Lab at Fudan University, supervised by Prof. Xipeng Qiu. I obtained my B.S. degree at Fudan University in 2022, advised by Prof. Yanghua Xiao. Previously, I had an internship at Metabit Trading and I am still highly interested in research-related roles in investment.

I am expected to graduate in June 2026 and seeking Ph.D opportunities worldwide. I'm also open to academic collaboration opportunities. Please feel free to contact me by fdutian@gmail.comif you are interested!

Email / Google Scholar / Github

Research

I am interested in Machine Learning and Natural Language Processing, especially in the following directions:

(1) Multimodal Learning: Enable the model to have the capability to understand and generate multiple modalities.

(2) Model Architecture: Modify existing model architectures or add components to them or explore new model architectures to enhance model capabilities or reduce costs.

Publications

(* refers to equal contribution)

	InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Ke Ren, Botian Jiang, Xipeng Qiu Arxiv, 2024 paper / code & data (coming soon)
	Watermarking LLMs with Weight Quantization Linyang Li, Botian Jiang, Pengyu Wang, Ke Ren, Hang Yan, Xipeng Qiu EMNLP(Findings), 2023 paper / code & data
	SeqXGPT: Sentence-Level AI-Generated Text Detection Pengyu Wang, Linyang Li, Ke Ren, Botian Jiang, Dong Zhang, Xipeng Qiu EMNLP, 2023 paper / code & data

Website's code is from Jon Barron.