Ting-Chih Chen

ML Engineer.

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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!
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

  1. M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection
    Chia-Wei Tang, Ting-Chih Chen, Kiet A. Nguyen, Kazi Sajeed Mehrab, Alvi Md Ishmam and Chris Thomas
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).
  2. ACL
    MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking
    Ting-Chih Chen, Chia-Wei Tang, Chris Thomas
    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL).
  3. Multimodal Multi-Document Evidence Summarization For Fact-Checking
    Ting-Chih Chen