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Xingchen Wan

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Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning

Oct 19, 2023
Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen

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Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering

Sep 29, 2023
Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine Heller, Subhrajit Roy

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Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature

Jun 09, 2023
Masaki Adachi, Satoshi Hayakawa, Xingchen Wan, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne

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Bayesian Optimisation of Functions on Graphs

Jun 08, 2023
Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong

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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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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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SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning

May 03, 2023
Xinghui Li, Kai Han, Xingchen Wan, Victor Adrian Prisacariu

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Bayesian Quadrature for Neural Ensemble Search

Mar 17, 2023
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael Osborne

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AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning

Jan 28, 2023
Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen

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Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization

Oct 18, 2022
Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy

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