Ting-Chih Chen
ML Engineer.

I am currently a Machine Learning Engineer at Ret[AI]ling Data, where I focus on developing recommendation systems for shopping malls. My main contribution is designing personalized shopping experiences by leveraging advanced machine learning algorithms. In addition to this, I manage and maintain the Customer Data Platform, which helps the company gain valuable insights into consumer behavior and trends in the retail domain. This work plays a role in optimizing the shopping experience for customers and driving business growth.
Previously, I completed my Master’s in Computer Science at Virginia Tech, where I conducted research on detecting disinformation. Under the guidance of Professor Chris Thomas, my work focused on developing language models using RLHF and PPO. Additionally, I integrated cross-modal information into knowledge graphs to detect disinformation at a fine-grained level, aiming to distinguish between real and fake information effectively.
In addition to my professional and academic work, I run an online scene representation reading list. This resource serves as a curated collection of research and papers, helping individuals stay up-to-date with advancements in scene representation and related areas. Feel free to visit the reading list if you're interested in exploring more.
News
Feb 2025 | I served as a reviewer at ACL Student Research Workshop (SRW) 2025! |
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Sep 2024 | Our work on multimodal fine-grained inconsistency detection was accepted to EMNLP 2024. |
May 2024 | Our work on multidocument, multimodal evidence summarization was accepted to ACL 2024. |
Dec 2023 | I defended my MS thesis. |
Nov 2023 | Our work on fine-grained multidocument multimodal inconsistency checking was featured in Columbia Engineering Magazine (“When Trust Is a Factor”) |
Selected Publications
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M3D: MultiModal MultiDocument Fine-Grained Inconsistency DetectionIn Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).