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Ryan Liu
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2020 – today
- 2024
- [c9]Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths:
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? ICML 2024 - [i16]Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths:
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? CoRR abs/2402.07282 (2024) - [i15]Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths:
Large Language Models Assume People are More Rational than We Really are. CoRR abs/2406.17055 (2024) - 2023
- [c8]Ryan Liu:
Towards an Uncertainty-aware Decision Engine for Proactive Self-Protecting Software. ACSOS-C 2023: 21-23 - [c7]Mingyang Xu, Ryan Liu, Ladan Tahvildari, Mark Stoodley:
An Educational Course on Self-Adaptive Systems using IBM Technologies. CASCON 2023: 143-148 - [c6]Yihan Cao, Shuyi Chen
, Ryan Liu, Zhiruo Wang, Daniel Fried:
API-Assisted Code Generation for Question Answering on Varied Table Structures. EMNLP 2023: 14536-14548 - [i14]Ryan Liu
Hierarchical Graph Neural Networks for Particle Track Reconstruction. CoRR abs/2303.01640 (2023) - [i13]Ryan Liu, Nihar B. Shah:
ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing. CoRR abs/2306.00622 (2023) - [i12]Ryan Liu, Steven Jecmen, Vincent Conitzer, Fei Fang, Nihar B. Shah:
Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial. CoRR abs/2307.05443 (2023) - [i11]Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Bill Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang:
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. CoRR abs/2307.10168 (2023) - [i10]Ryan Liu, Ladan Tahvildari:
Using POMDP-based Approach to Address Uncertainty-Aware Adaptation for Self-Protecting Software. CoRR abs/2308.02134 (2023) - [i9]Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried:
API-Assisted Code Generation for Question Answering on Varied Table Structures. CoRR abs/2310.14687 (2023) - [i8]Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna:
Improving Interpersonal Communication by Simulating Audiences with Language Models. CoRR abs/2311.00687 (2023) - [i7]Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant:
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation. CoRR abs/2311.14160 (2023) - [i6]Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant:
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder. CoRR abs/2311.17162 (2023) - 2022
- [c5]Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah:
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. AAMAS 2022: 1642-1644 - [c4]Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah:
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. HCOMP 2022: 102-113 - [i5]Ivan Stelmakh, Charvi Rastogi, Ryan Liu, Shuchi Chawla, Federico Echenique, Nihar B. Shah:
Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review. CoRR abs/2203.17239 (2022) - 2021
- [c3]Ryan Liu, Shizhe Lin, Ladan Tahvildari:
AHA: Adaptive Hadoop in Ad-hoc Cloud Environments. ACSOS 2021: 131-137 - [c2]Ryan Liu, Chuang Feng:
AI Compute Chip from Enflame. HCS 2021: 1-27 - [i4]Spencer He, Ryan Liu:
Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos. CoRR abs/2104.01137 (2021) - [i3]Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah:
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. CoRR abs/2108.06371 (2021) - [i2]Ryan Liu, Spencer He:
Proposing a System Level Machine Learning Hybrid Architecture and Approach for a Comprehensive Autism Spectrum Disorder Diagnosis. CoRR abs/2110.03775 (2021) - 2020
- [c1]Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang:
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. NeurIPS 2020 - [i1]Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang:
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. CoRR abs/2006.16437 (2020)
Coauthor Index
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