- Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
Tiancheng Hu, Benjamin Minixhofer, Nigel Collier
- Value of Information: A Framework for Human–Agent Communication
Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulić, Andreea Bobu, Nigel Collier
- Confidence Estimation for LLMs in Multi-turn Interactions
Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, Chengzu Li, Tiancheng Hu, Yijiang River Dong, Deqing Yang, Nigel Collier
- Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective
Beiduo Chen, Tiancheng Hu, Caiqi Zhang, Robert Litschko, Anna Korhonen, Barbara Plank
- TRACE: A Corpus of Team Creative Discussions
Yixuan Jiang, Tiancheng Hu, Jose Hernandez-Orallo, David Stillwell, Luning Sun
- Generative Language Models Exhibit Social Identity Biases
Tiancheng Hu, Yara Kyrychenko, Steve Rathje, Nigel Collier, Sander van der Linden, Jon Roozenbeek
- iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News
Tiancheng Hu, Nigel Collier
- Personalization up to a Point: Why Personalized Content Moderation Needs Boundaries, and How We Can Enforce Them
Emanuele Moscato, Tiancheng Hu, Matthias Orlikowski, Paul Röttger, Debora Nozza
- Scaling Low-Resource MT via Synthetic Data Generation with LLMs
Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann
- When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning
Yijiang River Dong, Tiancheng Hu, Yinhong Liu, Ahmet Üstün, Nigel Collier
- Quantifying the Persona Effect in LLM Simulations
Tiancheng Hu, Nigel Collier
- Can LLM be a Personalized Judge?
Yijiang River Dong, Tiancheng Hu, Nigel Collier
- Can Language Models Recognize Convincing Arguments?
Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, Robert West
- The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models
Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter
- Quotatives Indicate Decline in Objectivity in US Political News
Tiancheng Hu, Manoel Horta Ribeiro, Robert West, Andreas Spitz
- The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
Fiona Anting Tan, Ali Hürriyetoğlu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Farhana Ferdousi Liza, Tiancheng Hu
- Discovering Black Lives Matter Events in the United States: Shared Task 3, CASE 2021
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
- Drug Re-positioning via Text Augmented Knowledge Graph Embeddings
Mian Zhong, Tiancheng Hu, Ying Jiao, Shehzaad Zuzar Dhuliawala, Bipin Singh
- Team NoConflict at CASE 2021 Task 1: Pretraining for Sentence-Level Protest Event Detection
Tiancheng Hu, Niklas Stoehr
Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021), 2021.
[paper] [cite] - Temporal Head Pose Estimation From Point Cloud in Naturalistic Driving Conditions
Tiancheng Hu, Sumit Jha, Carlos Busso
IEEE Transactions on Intelligent Transportation Systems, 2021.
[paper] [cite] - The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention
Sumit Jha, Mohamed F. Marzban, Tiancheng Hu, Mohamed H. Mahmoud, Naofal Al-Dhahir, Carlos Busso
IEEE Transactions on Intelligent Transportation Systems, 2021.
[paper] [cite] - Robust Driver Head Pose Estimation in Naturalistic Conditions from Point-Cloud Data
Tiancheng Hu, Sumit Jha, Carlos Busso
2020 IEEE Intelligent Vehicles Symposium (IV), 2020.
[paper] [cite]
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