SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe.
CoRR, 2024
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark.
IEEE Trans. Knowl. Data Eng., 2022
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation.
CoRR, 2021
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.
CoRR, 2020
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Non-local Attention Learning on Large Heterogeneous Information Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019