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2020 – today
- 2026
[c22]Junhao Hu, Fangze Li, Mingtao Xu, Feifan Meng, Shiju Zhao, Tiancheng Hu, Ting Peng, Anmin Liu, Wenrui Huang, Chenxu Liu, Ziyue Hua, Tao Xie:
Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage. ACL (Findings) 2026: 1898-1912- [c21]Beiduo Chen, Tiancheng Hu, Caiqi Zhang, Robert Litschko, Anna Korhonen, Barbara Plank:
Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective. ACL (Findings) 2026: 21931-21951 - [c20]Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, Chengzu Li, Tiancheng Hu, Yijiang River Dong, Deqing Yang, Nigel Collier:
Confidence Estimation for LLMs in Multi-turn Interactions. ACL (Findings) 2026: 25661-25676 - [c19]Tiancheng Hu, Benjamin Minixhofer, Nigel Collier:
Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging. ACL (Findings) 2026: 42405-42422 - [c18]Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulic, Andreea Bobu, Nigel Collier:
Value of Information: A Framework for Human-Agent Communication. ACL (1) 2026: 42879-42896 - [c17]Yixuan Jiang, Tiancheng Hu, José Hernández-Orallo, David Stillwell, Luning Sun:
TRACE: A Corpus of Team Creative Discussions. ACL (1) 2026: 45535-45552 - [i28]Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, Chengzu Li, Tiancheng Hu, Yijiang River Dong, Deqing Yang, Nigel Collier:
Confidence Estimation for LLMs in Multi-turn Interactions. CoRR abs/2601.02179 (2026) - [i27]Junhao Hu, Fangze Li, Mingtao Xu, Feifan Meng, Shiju Zhao, Tiancheng Hu, Ting Peng, Anmin Liu, Wenrui Huang, Chenxu Liu, Ziyue Hua, Tao Xie:
Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage. CoRR abs/2601.03043 (2026) - [i26]Beiduo Chen, Tiancheng Hu, Caiqi Zhang, Robert Litschko, Anna Korhonen, Barbara Plank:
Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective. CoRR abs/2601.03154 (2026) - [i25]Tiancheng Hu, Chenxi Wang, Ting Cao, Jin Qin, Lei Chen, Xinyu Xiao, Junhao Hu, Hongliang Tian, Shoumeng Yan, Huimin Cui, Quan Chen, Tao Xie:
Hummingbird: SLO-Oriented GPU Preemption at Microsecond-scale. CoRR abs/2601.04071 (2026) - [i24]Yijiang River Dong, Tiancheng Hu, Zheng Hui, Nigel Collier:
Steer Model beyond Assistant: Controlling System Prompt Strength via Contrastive Decoding. CoRR abs/2601.06403 (2026) - [i23]Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulic, Andreea Bobu, Nigel Collier:
Value of Information: A Framework for Human-Agent Communication. CoRR abs/2601.06407 (2026) - [i22]Zijing Xu, Ziwei Ning, Tiancheng Hu, Jianwei Zhuge, Yangyang Wang, Jiahao Cao, Mingwei Xu:
TRACE: Timely Retrieval and Alignment for Cybersecurity Knowledge Graph Construction and Expansion. CoRR abs/2602.11211 (2026) - [i21]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:
International AI Safety Report 2026. CoRR abs/2602.21012 (2026) - [i20]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:
Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation. CoRR abs/2604.10180 (2026) - [i19]Tianlun Hu, Tiancheng Hu, Shengsheng Litang, Sheng Wang, Xiaoming Bao, Yuxing Li, Wei Wang, Zhongzhe Hu, Lijun Li, Hongwei Sun, Jingbin Zhou:
Relay Buffer Independent Communication over Pooled HBM for Efficient MoE Inference on Ascend. CoRR abs/2605.06055 (2026) - [i18]Tiancheng Hu, Yixuan Jiang, Haotian Li, José Hernández-Orallo, Xing Xie, Nigel Collier, David Stillwell, Luning Sun:
Multi-agent AI systems outperform human teams in creativity. CoRR abs/2605.17885 (2026) - 2025
- [j3]Tiancheng Hu, Yara Kyrychenko
, Steve Rathje, Nigel Collier, Sander van der Linden, Jon Roozenbeek:
Generative language models exhibit social identity biases. Nat. Comput. Sci. 5(1): 65-75 (2025) - [c16]Junhao Hu, Wenrui Huang, Weidong Wang, Zhenwen Li, Tiancheng Hu, Zhixia Liu, Xusheng Chen, Tao Xie, Yizhou Shan:
RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning. ACL (Findings) 2025: 2577-2590 - [c15]Tiancheng Hu, Nigel Collier:
iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News. ACL (1) 2025: 25000-25040 - [c14]Yijiang River Dong, Tiancheng Hu, Yinhong Liu, Ahmet Üstün, Nigel Collier:
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning. EMNLP (Findings) 2025: 16880-16894 - [c13]Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann:
Scaling Low-Resource MT via Synthetic Data Generation with LLMs. EMNLP 2025: 27674-27692 - [c12]Emanuele Moscato, Tiancheng Hu, Matthias Orlikowski, Paul Röttger, Debora Nozza:
Personalization up to a Point: Why Personalized Content Moderation Needs Boundaries, and How We Can Enforce Them. EMNLP 2025: 34015-34029 - [c11]Junhao Hu, Wenrui Huang, Weidong Wang, Haoyi Wang, Tiancheng Hu, Qin Zhang, Hao Feng, Xusheng Chen, Yizhou Shan, Tao Xie:
EPIC: Efficient Position-Independent Caching for Serving Large Language Models. ICML 2025 - [i17]Junhao Hu, Wenrui Huang, Weidong Wang, Zhenwen Li, Tiancheng Hu, Zhixia Liu, Xusheng Chen, Tao Xie, Yizhou Shan:
Efficient Long-Decoding Inference with Reasoning-Aware Attention Sparsity. CoRR abs/2502.11147 (2025) - [i16]Yijiang River Dong, Tiancheng Hu, Yinhong Liu, Ahmet Üstün, Nigel Collier:
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning. CoRR abs/2502.19158 (2025) - [i15]Tiancheng Hu, Nigel Collier:
iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News. CoRR abs/2503.03335 (2025) - [i14]Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann:
Scaling Low-Resource MT via Synthetic Data Generation with LLMs. CoRR abs/2505.14423 (2025) - [i13]Ej Zhou, Caiqi Zhang, Tiancheng Hu, Chengzu Li, Nigel Collier, Ivan Vulic, Anna Korhonen:
Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models. CoRR abs/2510.03136 (2025) - [i12]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:
International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. CoRR abs/2510.13653 (2025) - [i11]Tiancheng Hu, Benjamin Minixhofer, Nigel Collier:
Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging. CoRR abs/2510.17426 (2025) - [i10]Tiancheng Hu, Joachim Baumann, Lorenzo Lupo, Nigel Collier, Dirk Hovy, Paul Röttger:
SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors. CoRR abs/2510.17516 (2025) - 2024
- [c10]Tiancheng Hu, Nigel Collier:
An Individualized News Affective Response Dataset. ACL (Student Research Workshop) 2024: 555-563 - [c9]Tiancheng Hu, Nigel Collier:
Quantifying the Persona Effect in LLM Simulations. ACL (1) 2024: 10289-10307 - [c8]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. EMNLP (Findings) 2024: 8783-8805 - [c7]Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, Robert West:
Can Language Models Recognize Convincing Arguments? EMNLP (Findings) 2024: 8826-8837 - [c6]Yijiang River Dong, Tiancheng Hu, Nigel Collier:
Can LLM be a Personalized Judge? EMNLP (Findings) 2024: 10126-10141 - [i9]Tiancheng Hu, Nigel Collier:
Quantifying the Persona Effect in LLM Simulations. CoRR abs/2402.10811 (2024) - [i8]Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, Robert West:
Can Language Models Recognize Convincing Arguments? CoRR abs/2404.00750 (2024) - [i7]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. CoRR abs/2406.11096 (2024) - [i6]Yijiang River Dong, Tiancheng Hu, Nigel Collier:
Can LLM be a Personalized Judge? CoRR abs/2406.11657 (2024) - [i5]Junhao Hu, Wenrui Huang, Haoyi Wang, Weidong Wang, Tiancheng Hu, Qin Zhang, Hao Feng, Xusheng Chen, Yizhou Shan, Tao Xie:
EPIC: Efficient Position-Independent Context Caching for Serving Large Language Models. CoRR abs/2410.15332 (2024) - 2023
- [c5]Tiancheng Hu, Manoel Horta Ribeiro, Robert West, Andreas Spitz:
Quotatives Indicate Decline in Objectivity in U.S. Political News. ICWSM 2023: 363-374 - [c4]Tiancheng Hu, Zijing Xu, Yilin Fang, Yueming Wu, Bin Yuan, Deqing Zou, Hai Jin:
Fine-Grained Code Clone Detection with Block-Based Splitting of Abstract Syntax Tree. ISSTA 2023: 89-100 - [i4]Tiancheng Hu, Yara Kyrychenko, Steve Rathje, Nigel Collier, Sander van der Linden, Jon Roozenbeek:
Generative Language Models Exhibit Social Identity Biases. CoRR abs/2310.15819 (2023) - 2022
- [j2]Tiancheng Hu, Sumit Jha, Carlos Busso:
Temporal Head Pose Estimation From Point Cloud in Naturalistic Driving Conditions. IEEE Trans. Intell. Transp. Syst. 23(7): 8063-8076 (2022) - [j1]Sumit Jha, Mohamed F. Marzban, Tiancheng Hu, Mohamed Hany Mahmoud, Naofal Al-Dhahir, Carlos Busso:
The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention. IEEE Trans. Intell. Transp. Syst. 23(8): 10736-10752 (2022) - [c3]Fiona Anting Tan, Ali Hürriyetoglu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu:
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. LREC 2022: 2298-2310 - [i3]Fiona Anting Tan, Ali Hürriyetoglu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu:
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. CoRR abs/2204.11714 (2022) - [i2]Tiancheng Hu, Manoel Horta Ribeiro, Robert West, Andreas Spitz:
Quotatives Indicate Decline in Objectivity in U.S. Political News. CoRR abs/2210.15476 (2022) - 2021
- [i1]Sumit Jha, Mohamed F. Marzban, Tiancheng Hu, Mohamed Hany Mahmoud, Naofal Al-Dhahir, Carlos Busso:
The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention. CoRR abs/2101.04639 (2021) - 2020
- [c2]Tiancheng Hu, Sumit Jha, Carlos Busso:
Robust Driver Head Pose Estimation in Naturalistic Conditions from Point-Cloud Data. IV 2020: 1176-1182
2010 – 2019
Coauthor Index
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