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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
About Me
About me
Posts
Future Blog Post
Published:
My blogs are CSDN written in Chinese.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Identifying Contradicted Findings in ACL Anthology Papers
Annotating and building a dataset to identify contradictions among NLP papers on the same topic, with model training and evaluation.
Evaluating MGT Detector Bias: Native vs Non-Native English Authors
Investigating whether machine-generated text detectors exhibit systematic bias against non-native English speakers in scientific writing.
Endi-QM: Energy Efficiency via Intelligent In-Process Quality Monitoring
Applying deep learning and reinforcement learning to industrial sensor data for product quality prediction and machine parameter optimization.
RAG for Implicit Relation Detection Between Texts (M.Sc. Thesis)
A Retrieval-Augmented Generation framework to automate detection of implicit textual links, developed as M.Sc. thesis at UKP Lab.
publications
DP-NMT: Scalable Differentially-Private Machine Translation
Published in EMNLP, 2024
We present DP-NMT, a scalable framework for differentially-private neural machine translation. We adapt and evaluate differentially-private training approaches across multiple NLP models and datasets including WMT16 and BSD.