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Specializing Smaller Language Models towards Multi-Step Reasoning


Jan 30, 2023
Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot

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* Preprint 

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TorchOpt: An Efficient Library for Differentiable Optimization


Nov 13, 2022
Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang

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* NeurIPS 2022 OPT Workshop 

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Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE


Oct 28, 2022
Yuling Gu, Yao Fu, Valentina Pyatkin, Ian Magnusson, Bhavana Dalvi Mishra, Peter Clark

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* Accepted at The Third Workshop on Figurative Language Processing @ EMNLP 2022 

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Decomposed Prompting: A Modular Approach for Solving Complex Tasks


Oct 05, 2022
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal

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* Datasets, Code and Prompts available at https://github.com/allenai/DecomP 

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Complexity-Based Prompting for Multi-Step Reasoning


Oct 03, 2022
Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot

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Latent Topology Induction for Understanding Contextualized Representations


Jun 03, 2022
Yao Fu, Mirella Lapata

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Few-shot Subgoal Planning with Language Models


May 28, 2022
Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee

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* NAACL 2022 

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Data-to-text Generation with Variational Sequential Planning


Feb 28, 2022
Ratish Puduppully, Yao Fu, Mirella Lapata

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* To appear in Transactions of the Association for Computational Linguistics (TACL); 18 pages 

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Experimental quantum advantage with quantum coupon collector


Dec 15, 2021
Min-Gang Zhou, Xiao-Yu Cao, Yu-Shuo Lu, Yang Wang, Yu Bao, Zhao-Ying Jia, Yao Fu, Hua-Lei Yin, Zeng-Bing Chen

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* 11 pages, 6 figures, 4 tables 

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Scaling Structured Inference with Randomization


Dec 07, 2021
Yao Fu, Mirella Lapata

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* Preprint 

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