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Hanjun Dai
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Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets


May 26, 2023
Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron Courville, Yoshua Bengio, Ling Pan

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Universal Self-adaptive Prompting


May 24, 2023
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan O. Arik, Tomas Pfister

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* 10 pages, 3 figures, 4 tables (19 pages, 5 figures and 9 tables including references and appendices) 
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Better Zero-Shot Reasoning with Self-Adaptive Prompting


May 23, 2023
Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan O. Arik, Tomas Pfister

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* Findings of the Association for Computational Linguistics: ACL 2023. 10 pages, 2 tables, 4 figures (20 pages, 8 tables, 7 figures including references and appendices) 
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Gradient-Free Structured Pruning with Unlabeled Data


Mar 07, 2023
Azade Nova, Hanjun Dai, Dale Schuurmans

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Learning Universal Policies via Text-Guided Video Generation


Feb 02, 2023
Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel

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* Project Website: https://universal-policy.github.io/ 
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Score-based Continuous-time Discrete Diffusion Models


Nov 30, 2022
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai

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Learning to Optimize with Stochastic Dominance Constraints


Nov 21, 2022
Hanjun Dai, Yuan Xue, Niao He, Bethany Wang, Na Li, Dale Schuurmans, Bo Dai

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* 24 pages, 44 figures 
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Optimal Scaling for Locally Balanced Proposals in Discrete Spaces


Sep 16, 2022
Haoran Sun, Hanjun Dai, Dale Schuurmans

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Annealed Training for Combinatorial Optimization on Graphs


Jul 23, 2022
Haoran Sun, Etash K. Guha, Hanjun Dai

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Discrete Langevin Sampler via Wasserstein Gradient Flow


Jun 29, 2022
Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans

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