Tiancheng Hu

According to our database, Tiancheng Hu authored at least 34 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation.

Tiancheng Hu, Jin Qin, Zheng Wang, Junhao Hu, Yuzheng Wang, Lei Chen, Yizhou Shan, Mingxing Zhang, Ting Cao, Chunwei Xia, Huimin Cui, Tao Xie, Chenxi Wang

CoRR, April, 2026

International AI Safety Report 2026.

Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko, Ben Bucknall, Malcolm Murray, Rishi Bommasani, Stephen Casper, Tom Davidson, Raymond Douglas, David Duvenaud, Philip Fox, Usman Gohar, Rose Hadshar, Anson Ho, Tiancheng Hu, Cameron Jones, Sayash Kapoor, Atoosa Kasirzadeh, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Richard Moulange, Jessica Newman, Kwan Yee Ng, Patricia Paskov, Shalaleh Rismani, Girish Sastry, Elizabeth Seger, Scott Singer, Charlotte Stix, Lucia Velasco, Nicole Wheeler

CoRR, February, 2026

TRACE: Timely Retrieval and Alignment for Cybersecurity Knowledge Graph Construction and Expansion.

Zijing Xu, Ziwei Ning, Tiancheng Hu, Jianwei Zhuge, Yangyang Wang, Jiahao Cao, Mingwei Xu

CoRR, February, 2026

Value of Information: A Framework for Human-Agent Communication.

Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulic, Andreea Bobu, Nigel Collier

CoRR, January, 2026

Steer Model beyond Assistant: Controlling System Prompt Strength via Contrastive Decoding.

Yijiang River Dong, Tiancheng Hu, Zheng Hui, Nigel Collier

CoRR, January, 2026

Hummingbird: SLO-Oriented GPU Preemption at Microsecond-scale.

Tiancheng Hu, Chenxi Wang, Ting Cao, Jin Qin, Lei Chen, Xinyu Xiao, Junhao Hu, Hongliang Tian, Shoumeng Yan, Huimin Cui, Quan Chen, Tao Xie

CoRR, January, 2026

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

CoRR, January, 2026

Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage.

Junhao Hu, Fangze Li, Mingtao Xu, Feifan Meng, Shiju Zhao, Tiancheng Hu, Ting Peng, Anmin Liu, Wenrui Huang, Chenxu Liu, Ziyue Hua, Tao Xie

CoRR, January, 2026

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

CoRR, January, 2026

2025

SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors.

Tiancheng Hu, Joachim Baumann, Lorenzo Lupo, Nigel Collier, Dirk Hovy, Paul Röttger

CoRR, October, 2025

Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging.

Tiancheng Hu, Benjamin Minixhofer, Nigel Collier

CoRR, October, 2025

International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications.

Yoshua Bengio, Stephen Clare, Carina Prunkl, Shalaleh Rismani, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Tiancheng Hu, Cameron Jones, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Malcolm Murray, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nicholas R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Z. Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yan-Ning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Christian Busch, André C. P. L. F. de Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa Rivera, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu

CoRR, October, 2025

Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models.

Ej Zhou, Caiqi Zhang, Tiancheng Hu, Chengzu Li, Nigel Collier, Ivan Vulic, Anna Korhonen

CoRR, October, 2025

Efficient Long-Decoding Inference with Reasoning-Aware Attention Sparsity.

Junhao Hu, Wenrui Huang, Weidong Wang, Zhenwen Li, Tiancheng Hu, Zhixia Liu, Xusheng Chen, Tao Xie, Yizhou Shan

CoRR, February, 2025

Generative language models exhibit social identity biases.

Tiancheng Hu, Yara Kyrychenko, Steve Rathje, Nigel Collier, Sander van der Linden, Jon Roozenbeek

Nat. Comput. Sci., January, 2025

EPIC: Efficient Position-Independent Caching for Serving Large Language Models.

Junhao Hu, Wenrui Huang, Weidong Wang, Haoyi Wang, Tiancheng Hu, Qin Zhang, Hao Feng, Xusheng Chen, Yizhou Shan, Tao Xie

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning.

Yijiang River Dong, Tiancheng Hu, Yinhong Liu, Ahmet Üstün, Nigel Collier

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning.

Junhao Hu, Wenrui Huang, Weidong Wang, Zhenwen Li, Tiancheng Hu, Zhixia Liu, Xusheng Chen, Tao Xie, Yizhou Shan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News.

Tiancheng Hu, Nigel Collier

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

EPIC: Efficient Position-Independent Context Caching for Serving Large Language Models.

Junhao Hu, Wenrui Huang, Haoyi Wang, Weidong Wang, Tiancheng Hu, Qin Zhang, Hao Feng, Xusheng Chen, Yizhou Shan, Tao Xie

CoRR, 2024

Can Language Models Recognize Convincing Arguments?

Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, Robert West

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Can LLM be a Personalized Judge?

Yijiang River Dong, Tiancheng Hu, Nigel Collier

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

An Individualized News Affective Response Dataset.

Tiancheng Hu, Nigel Collier

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2024

Quantifying the Persona Effect in LLM Simulations.

Tiancheng Hu, Nigel Collier

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Fine-Grained Code Clone Detection with Block-Based Splitting of Abstract Syntax Tree.

Tiancheng Hu, Zijing Xu, Yilin Fang, Yueming Wu, Bin Yuan, Deqing Zou, Hai Jin

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Quotatives Indicate Decline in Objectivity in U.S. Political News.

Tiancheng Hu, Manoel Horta Ribeiro, Robert West, Andreas Spitz

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022

The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention.

Sumit Jha, Mohamed F. Marzban, Tiancheng Hu, Mohamed Hany Mahmoud, Naofal Al-Dhahir, Carlos Busso

IEEE Trans. Intell. Transp. Syst., 2022

Temporal Head Pose Estimation From Point Cloud in Naturalistic Driving Conditions.

Tiancheng Hu, Sumit Jha, Carlos Busso

IEEE Trans. Intell. Transp. Syst., 2022

The Causal News Corpus: Annotating Causal Relations in Event Sentences from News.

Fiona Anting Tan, Ali Hürriyetoglu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2020

Robust Driver Head Pose Estimation in Naturalistic Conditions from Point-Cloud Data.

Tiancheng Hu, Sumit Jha, Carlos Busso

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2016

A data quality index based incentive mechanism for smartphone crowdsensing.

Tiancheng Hu, Tao Yang, Bo Hu

Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016