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TH
cs.CLcs.CYcs.AIcs.LGCamelids, New WorldLanguageSkin NeoplasmsSocial Identification

On Valency

published · living versions
W_dm5xu66x·v1 · currentpublished
Memory-Aware Reward Modeling: Learning Human Preferences for LLM Memory Use
with Yijiang River Dong, Zexue He, Cheng Yu, Michael J Ryan +7
1 version

Preprints & journals

24 papers in the corpus · 2022–2026
Memory-Aware Reward Modeling: Learning Human Preferences for LLM Memory Use2610.31272v1 · Yijiang River Dong, Zexue He, Cheng Yu et al.2026 · 0 citationsarXivon Valency
A reporting checklist for large language models in behavioural science.42265331 · Feuerriegel, Stefan, Barrie, Christopher, Crockett, M J et al.2026 · 16 citationsNature human behaviour. 2026;10(7):1182-1186
Multi-agent AI systems outperform human teams in creativity2605.17885v1 · Tiancheng Hu, Yixuan Jiang, Haotian Li et al.2026 · 0 citationsarXiv
International AI Safety Report 20262602.21012v1 · Yoshua Bengio, Stephen Clare, Carina Prunkl et al.2026 · 3 citationsarXiv
Steer Model beyond Assistant: Controlling System Prompt Strength via Contrastive Decoding2601.06403v1 · Yijiang River Dong, Tiancheng Hu, Zheng Hui et al.2026 · 0 citationsarXiv
Value of Information: A Framework for Human-Agent Communication2601.06407v1 · Yijiang River Dong, Tiancheng Hu, Zheng Hui et al.2026 · 0 citationsarXiv
Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective2601.03154v2 · Beiduo Chen, Tiancheng Hu, Caiqi Zhang et al.2026 · 0 citationsarXiv
Confidence Estimation for LLMs in Multi-turn Interactions2601.02179v2 · Caiqi Zhang, Ruihan Yang, Xiaochen Zhu et al.2026 · 0 citationsarXiv
Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging2510.17426v3 · Tiancheng Hu, Benjamin Minixhofer, Nigel Collier2025 · 0 citationsarXiv
SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors2510.17516v4 · Tiancheng Hu, Joachim Baumann, Lorenzo Lupo et al.2025 · 0 citationsarXiv
International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications2510.13653v1 · Yoshua Bengio, Stephen Clare, Carina Prunkl et al.2025 · 3 citationsarXiv
Scaling Low-Resource MT via Synthetic Data Generation with LLMs2505.14423v2 · Ona de Gibert, Joseph Attieh, Teemu Vahtola et al.2025 · 4 citationsarXiv
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning2502.19158v2 · Yijiang River Dong, Tiancheng Hu, Yinhong Liu et al.2025 · 0 citationsarXiv
Generative language models exhibit social identity biases.39668254 · Hu, Tiancheng, Kyrychenko, Yara, Rathje, Steve et al.2025 · 100 citationsNature computational science. 2025;5(1):65-75
Can LLM be a Personalized Judge?2406.11657v1 · Yijiang River Dong, Tiancheng Hu, Nigel Collier2024 · 24 citationsarXiv
Can Language Models Recognize Convincing Arguments?2404.00750v2 · Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu et al.2024 · 11 citationsarXiv
Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional analysis.38508682 · Menz, Bradley D, Kuderer, Nicole M, Bacchi, Stephen et al.2024 · 131 citationsBMJ (Clinical research ed.). 2024;384:e078538
Quantifying the Persona Effect in LLM Simulations2402.10811v2 · Tiancheng Hu, Nigel Collier2024 · 43 citationsarXiv
Quotatives Indicate Decline in Objectivity in U.S. Political News2210.15476v2 · Tiancheng Hu, Manoel Horta Ribeiro, Robert West et al.2022 · 5 citationsarXiv
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News2204.11714v1 · Fiona Anting Tan, Ali Hurriyetoglu, Tommaso Caselli et al.2022 · 32 citationsarXiv
Career total: 56 works. 24 are in this corpus.

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