no code implementations • 11 Feb 2024 • Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths
In day-to-day communication, people often approximate the truth - for example, rounding the time or omitting details - in order to be maximally helpful to the listener.
1 code implementation • 28 Nov 2023 • Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
Model-agnostic anomaly detection is one of the promising approaches in the search for new beyond the standard model physics.
1 code implementation • 23 Nov 2023 • Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
The challenging environment of real-time data processing systems at the Large Hadron Collider (LHC) strictly limits the computational complexity of algorithms that can be deployed.
1 code implementation • 1 Nov 2023 • Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna
How do we communicate with others to achieve our goals?
no code implementations • 23 Oct 2023 • Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried
A persistent challenge to table question answering (TableQA) by generating executable programs has been adapting to varied table structures, typically requiring domain-specific logical forms.
no code implementations • 19 Jul 2023 • 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
We reflect on human and LLMs' different sensitivities to instructions, stress the importance of enabling human-facing safeguards for LLMs, and discuss the potential of training humans and LLMs with complementary skill sets.
no code implementations • 1 Jun 2023 • Ryan Liu, Nihar B. Shah
We find that across 119 {checklist question, paper} pairs, the LLM had an 86. 6% accuracy.
1 code implementation • 3 Mar 2023 • Ryan Liu, Paolo Calafiura, Steven Farrell, Xiangyang Ju, Daniel Thomas Murnane, Tuan Minh Pham
We introduce a novel variant of GNN for particle tracking called Hierarchical Graph Neural Network (HGNN).
no code implementations • 18 Sep 2021 • Ryan Liu, Spencer He
Finally, we implemented our hybrid model by incorporating different features of the Support Vector Machine and the DenseNet into one model.
1 code implementation • 13 Aug 2021 • Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
Many scientific conferences employ a two-phase paper review process, where some papers are assigned additional reviewers after the initial reviews are submitted.
no code implementations • 2 Apr 2021 • Spencer He, Ryan Liu
Our novel architecture is able to effectively automate ASD pre-screening with a maximum weighted accuracy of 84%.
2 code implementations • NeurIPS 2020 • Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang
We further consider the problem of restricting the joint probability that certain suspect pairs of reviewers are assigned to certain papers, and show that this problem is NP-hard for arbitrary constraints on these joint probabilities but efficiently solvable for a practical special case.