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2020 – today
- 2024
[c3]Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal:
Curiosity-driven Red-teaming for Large Language Models. ICLR 2024- [i5]Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal:
Curiosity-driven Red-teaming for Large Language Models. CoRR abs/2402.19464 (2024) - [i4]Shivchander Sudalairaj, Abhishek Bhandwaldar, Aldo Pareja, Kai Xu, David D. Cox, Akash Srivastava:
LAB: Large-Scale Alignment for ChatBots. CoRR abs/2403.01081 (2024) - 2021
- [c2]Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias:
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation. APOCS 2021: 144-158 - 2020
- [c1]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI 2020: 5363-5370
2010 – 2019
- 2019
- [i3]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. CoRR abs/1902.10191 (2019) - 2018
- [i2]Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel:
Logical Rule Induction and Theory Learning Using Neural Theorem Proving. CoRR abs/1809.02193 (2018) - [i1]Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl:
Scalable Graph Learning for Anti-Money Laundering: A First Look. CoRR abs/1812.00076 (2018)
Coauthor Index
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