Jiaxin Zhang
Orcid: 0000-0002-7576-6110Affiliations:
- Intuit AI Research, Mountain View, CA, USA
- Oak Ridge National Laboratory, TN, USA
- Johns Hopkins University, Department of Civil Engineering, Baltimore, MD, USA (former)
According to our database1,
Jiaxin Zhang
authored at least 38 papers
between 2016 and 2024.
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Bibliography
2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation.
CoRR, 2024
Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations.
CoRR, 2024
CoRR, 2024
CoRR, 2024
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
SAC<sup>3</sup>: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency.
CoRR, 2023
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
SAC³: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
RecUP-FL: Reconciling Utility and Privacy in Federated learning via User-configurable Privacy Defense.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Mach. Learn. Sci. Technol., December, 2022
Fair and Privacy-Preserving Alzheimer's Disease Diagnosis Based on Spontaneous Speech Analysis via Federated Learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
CoRR, 2021
Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
On the quantification and efficient propagation of imprecise probabilities with copula dependence.
Int. J. Approx. Reason., 2020
Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials.
CoRR, 2020
Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics.
CoRR, 2020
Data Driven Modeling of Interfacial Traction Separation Relations using Thermodynamic Consistent Neural Network (TCNN).
CoRR, 2020
A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization.
CoRR, 2020
2019
Learning nonlinear level sets for dimensionality reduction in function approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2016