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Dr. Jing Yang

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Technische Universität Berlin

Dr. Jing Yang

Dr. Jing Yang

Postdoctoral researcher

Jing Yang completed her Bachelor’s degree in Information and Computing Science at the Hubei University of Technology in China, followed by a Master’s degree in Computer Science at Hunan University, China. Her Master’s dissertation is related to identifying 3D printed objects and printers with Digital Forensics and Machine Learning. After obtaining her Master’s degree in 2019, Jing pursued her PhD at the RECOD.ai lab from the University of Campinas in Brazil, under the supervision of Prof. Anderson Rocha. During 2022-2023, Jing did a research internship at the Ubiquitous Knowledge Processing lab in TU Darmstadt. Her PhD thesis is related to improving fact-checking efficiency and explainability with few-shot learning and large language models. Jing is currently working as a post-doc researcher at TU Berlin, focusing on topics related to generating natural language languages for AI-based disinformation detection.

  • Natural language explanation generation
  • Large language model tuning/prompting
  • Synthetic text evaluation
  • Human preference study on text  generation

Max Upravitelev, Veronika Solopova, Jing Yang, Charlott Jakob, Alexandra Tsiakalou, Neda Foroutan, Vera Schmitt

From Repetition to Recognition: Inductive Discovery of Disinformation Narratives

September 10, 2026
https://doi.org/10.48550/arXiv.2609.11128

Antonin Poché, Fanny Jourdan, Nils Feldhus, Qianli Wang, Jing Yang, Simon Ostermann, Nicholas Asher, Philippe Muller, Vera Schmitt

Limitations of Automated Simulatability: LLM Simulators Can Bypass Explanations

September 10, 2026
https://doi.org/10.48550/arXiv.2609.08585

Max Upravitelev, Veronika Solopova, Jing Yang, Charlott Jakob, Premtim Sahitaj, Ariana Sahitaj, Vera Schmitt

hermeneutichools at SemEval-2026 Task 4: Multiperspectivity as a Resource for Narrative Similarity Prediction

July 07, 2026
https://aclanthology.org/2026.semeval-1.230/

Yilong Wang, Qianli Wang, Bohao Chu, Yihong Liu, Jing Yang, Simon Ostermann

Enhancing Multilingual Counterfactual Generation through Alignment-as-Preference Optimization

June 04, 2026
https://doi.org/10.48550/arXiv.2605.11632

Nils Feldhus, Tanja Baeumel, Elena Golimblevskaia, Qianli Wang, Van Bach Nguyen, Aaron Louis Eidt, Selin Kahvecioglu, Christopher Ebert, Wojciech Samek, Jing Yang, Vera Schmitt, Sebastian Möller, Simon Ostermann

Judge Circuits

May 25, 2026
https://doi.org/10.48550/arXiv.2605.16023