Huaxiu Yao

Orcid: 0000-0002-8691-9629

According to our database¹, Huaxiu Yao authored at least 77 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

Electrocardiogram Instruction Tuning for Report Generation.

[BibT_eX]

[DOI]

CoRR, 2024

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.

[BibT_eX]

[DOI]

CoRR, 2024

Distribution-Free Fair Federated Learning with Small Samples.

[BibT_eX]

[DOI]

CoRR, 2024

C<sup>3</sup>: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.

[BibT_eX]

[DOI]

CoRR, 2024

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Selective Learning: Towards Robust Calibration with Dynamic Regularization.

[BibT_eX]

[DOI]

CoRR, 2024

Generating Chain-of-Thoughts with a Direct Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought.

[BibT_eX]

[DOI]

CoRR, 2024

Multimodal Clinical Trial Outcome Prediction with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

[BibT_eX]

[DOI]

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Reliable Learning in the Wild: Generalization and Adaptation.

[BibT_eX]

[DOI]

Huaxiu Yao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Representation Learning by Alternating Unimodal Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.

[BibT_eX]

[DOI]

CoRR, 2023

Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification.

[BibT_eX]

[DOI]

Haoqiang Kang

Juntong Ni

Huaxiu Yao

CoRR, 2023

Fine-tuning Language Models for Factuality.

[BibT_eX]

[DOI]

Katherine Tian

Eric Mitchell

Huaxiu Yao

Christopher D. Manning

Chelsea Finn

CoRR, 2023

Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

[BibT_eX]

[DOI]

CoRR, 2023

Conformal Prediction for Deep Classifier via Label Ranking.

[BibT_eX]

[DOI]

CoRR, 2023

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Conservative Prediction via Data-Driven Confidence Minimization.

[BibT_eX]

[DOI]

CoRR, 2023

Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Domain Relations for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

An Iterative Self-Learning Framework for Medical Domain Generalization.

[BibT_eX]

[DOI]

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

Meta-Learning with Neural Bandit Scheduler.

[BibT_eX]

[DOI]

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

Understanding Train-Validation Split in Meta-Learning with Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement.

[BibT_eX]

[DOI]

Yoonho Lee

Huaxiu Yao

Chelsea Finn

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Surgical Fine-Tuning Improves Adaptation to Distribution Shifts.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

[BibT_eX]

[DOI]

Christopher D. Manning

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding.

[BibT_eX]

[DOI]

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

2022

Holistic Evaluation of Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations.

[BibT_eX]

[DOI]

CoRR, 2022

Knowledge-Driven New Drug Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

Diversify and Disambiguate: Learning From Underspecified Data.

[BibT_eX]

[DOI]

Yoonho Lee

Huaxiu Yao

Chelsea Finn

CoRR, 2022

GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy.

[BibT_eX]

[DOI]

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

C-Mixup: Improving Generalization in Regression.

[BibT_eX]

[DOI]

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

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time.

[BibT_eX]

[DOI]

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

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Out-of-Distribution Robustness via Selective Augmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Meta-Learning with Fewer Tasks through Task Interpolation.

[BibT_eX]

[DOI]

Huaxiu Yao

Linjun Zhang

Chelsea Finn

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Inductive Contextual Relation Learning for Personalization.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2021

Citywide Traffic Volume Inference with Surveillance Camera Records.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2021

Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Meta-learning with an Adaptive Task Scheduler.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Generalization in Meta-learning via Task Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Knowledge-Aware Meta-learning for Low-Resource Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Neural Utility Functions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records.

[BibT_eX]

[DOI]

CoRR, 2020

Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Convolutional Networks against Degree-Related Biases.

[BibT_eX]

[DOI]

CoRR, 2020

Transferring Robustness for Graph Neural Network Against Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Learning with Small Data.

[BibT_eX]

[DOI]

Zhenhui Li

Huaxiu Yao

Fenglong Ma

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Online Structured Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning with Small Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Automated Relational Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Few-Shot Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph Few-Shot Learning via Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Predicting Academic Performance for College Students: A Campus Behavior Perspective.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Non-Stationary Model for Crime Rate Inference Using Modern Urban Data.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2019

Transferable Neural Processes for Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Targeted Source Detection for Environmental Data.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Hierarchically Structured Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Modeling Spatial-Temporal Dynamics for Traffic Prediction.

[BibT_eX]

[DOI]

CoRR, 2018

IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Representation Learning for Large-Scale Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2017

Huaxiu Yao

Timeline

Legend:

Links

On csauthors.net:

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