Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models.

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[DOI]

Haotian Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers.

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[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification.

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[DOI]

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.

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[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking.

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[DOI]

CoRR, 2023

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

DF2: Distribution-Free Decision-Focused Learning.

[BibT_eX]

[DOI]

CoRR, 2023

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

ToolQA: A Dataset for LLM Question Answering with External Tools.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AdaPlanner: Adaptive Planning from Feedback with Language Models.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling.

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[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Autoregressive Diffusion Model for Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making.

[BibT_eX]

[DOI]

J. Michael Wattenbarger

May Dongmei Wang

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

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[DOI]

CoRR, 2022

End-to-end Stochastic Optimization with Energy-based Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

DNA computing for combinational logic.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2019

2018

Arithmetic Computations Based on Chemical Reaction Networks.

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[DOI]

Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018

2017

A synthesis flow for fast convolution unit based on molecular reactions.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

2016

Synthesis of Probability Theory Based on Molecular Computation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems, 2016

Yuchen Zhuang

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