Tiancheng Hu

PhD student Computation, Cognition and Language at Cambridge

University of Cambridge

Biography

I am a ~~first-year~~ ~~second year~~ third year PhD student (Gates Scholar, Apple Scholar) in Computation, Cognition and Language at the Language Technology Lab at University of Cambridge, supervised by Prof. Nigel Collier. I have broad interests in natural language processing and computational social science. Most recently, my research encompasses two aspects: 1) developing personalized language models and 2) leveraging language models to power social science simulations. I like mountains, lakes and the ocean.

Previously, I completed my master’s in Electrical Engineering and Information Technology at ETH Zürich. My master’s thesis is about quotative usage in U.S political news. It was done at The Data Science Lab at EPFL, supervised by Manoel Horta Ribeiro, Prof. Andreas Spitz and Prof. Robert West.

I obtained a Bachlor’s of Science in Electrical Engineering from The University of Texas at Dallas, advised by Prof. Carlos Busso.

Recent Updates

Sep - Dec 2024: Visited Prof. Dirk Hovy at the Milan NLP lab.
Aug 2024: Attended ACL 2024 in Bangkok, Thailand.
Mar 2024: Attended EACL 2024 in Malta.
Nov 2023: Attended TADA 2023 in Amherst, MA.
Dec 2023: Attended GEM & EMNLP 2023 in person. I will present our recent preprint on Generative Language Models Exhibit Social Identity Biases
Nov 2023: Attended TADA 2023 in Amherst, MA.
🔥Oct 2023: New preprint out on arxiv about a social psychology driven view of biases in LLMs: Generative Language Models Exhibit Social Identity Biases
Jul 2023: Attended IC2S2 2023 and presented Quotatives Indicate Decline in Objectivity in U.S. Political News and an earlier version of Generative Language Models Exhibit Social Identity Biases
Jun 2023: Attended ICWSM 2023 in Limassol, Cyprus.

Interests

Natural Language Processing
Computational Social Science
Bias
Human-AI Interaction

Education

PhD in Computation, Cognition and Language, 2026 (Expected)

University of Cambridge
MSc in Information Technology and Electrical Engineering, 2022

ETH Zürich
BSc in Electrical Engineering, 2020

The University of Texas at Dallas

Publications

Tiancheng Hu, Yara Kyrychenko, Steve Rathje, Nigel Collier, Sander van der Linden, Jon Roozenbeek (2023). Generative Language Models Exhibit Social Identity Biases. arXiv.

PDF Cite DOI

Tiancheng Hu, Manoel Horta Ribeiro, Robert West, Andreas Spitz (2023). Quotatives Indicate Decline in Objectivity in US Political News. Proceedings of the International AAAI Conference on Web and Social Media.

PDF Cite DOI

Fiona Anting Tan, Ali Hürriyetoğlu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu (2022). The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. Proceedings of the Language Resources and Evaluation Conference.

PDF Cite

Mian Zhong, Tiancheng Hu, Ying Jiao, Shehzaad Zuzar Dhuliawala, Bipin Singh (2021). Drug Re-positioning via Text Augmented Knowledge Graph Embeddings. NeurIPS 2021 Workshop AI4Science.

PDF Cite

Salvatore Giorgi, Vanni Zavarella, Hristo Tanev, Nicolas Stefanovitch, Sy Hwang, Hansi Hettiarachchi, Tharindu Ranasinghe, Vivek Kalyan, Paul Tan, Shaun Tan, Martin Andrews, Tiancheng Hu, Niklas Stoehr, Francesco Ignazio Re, Daniel Vegh, Dennis Atzenhofer, Brenda Curtis, Ali Hürriyetoğlu (2021). Discovering Black Lives Matter Events in the United States: Shared Task 3, CASE 2021. Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021).

PDF Cite DOI

See all publications

Professional Service

Reviewer for ICWSM (2023,2024), CHI (2024)

About Me

I am from Nanjing, China and have lived in Dallas (TX), Zurich, Lausanne and now Cambridge. I enjoy hiking, cooking, and learning about the interplay of politics, language, and society.