Search Results for author: Jiayi Xin

Found 4 papers, 4 papers with code

MIST-CF: Chemical formula inference from tandem mass spectra

1 code implementation17 Jul 2023 Samuel Goldman, Jiayi Xin, Joules Provenzano, Connor W. Coley

Importantly, MIST-CF learns in a data dependent fashion using a Formula Transformer neural network architecture and circumvents the need for fragmentation tree construction.

Learning-To-Rank

Prefix-Tree Decoding for Predicting Mass Spectra from Molecules

1 code implementation NeurIPS 2023 Samuel Goldman, John Bradshaw, Jiayi Xin, Connor W. Coley

Computational predictions of mass spectra from molecules have enabled the discovery of clinically relevant metabolites.

Retrieved Sequence Augmentation for Protein Representation Learning

1 code implementation24 Feb 2023 Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong

RSA links query protein sequences to a set of sequences with similar structures or properties in the database and combines these sequences for downstream prediction.

Property Prediction Representation Learning +1

Selective Annotation Makes Language Models Better Few-Shot Learners

1 code implementation5 Sep 2022 Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

Departing from recent in-context learning methods, we formulate an annotation-efficient, two-step framework: selective annotation that chooses a pool of examples to annotate from unlabeled data in advance, followed by prompt retrieval that retrieves task examples from the annotated pool at test time.

Code Generation In-Context Learning +1

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