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Xin Liu
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年份
A robust adversarial training approach to machine reading comprehension
K Liu, X Liu, A Yang, J Liu, J Su, S Li, Q She
Proceedings of the AAAI conference on artificial intelligence 34 (05), 8392-8400, 2020
432020
An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension.
X Liu, K Liu, X Li, J Su, Y Ge, B Wang, J Luo
IJCAI, 3794-3800, 2020
152020
Kgr4: Retrieval, retrospect, refine and rethink for commonsense generation
X Liu, D Liu, B Yang, H Zhang, J Ding, W Yao, W Luo, H Zhang, J Su
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11029 …, 2022
142022
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation
X Liu, B Yang, D Liu, H Zhang, W Luo, M Zhang, H Zhang, J Su
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
142021
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases
X Liu, M Khalifa, L Wang
ACL 2023, 2023
132023
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
X Liu, M Khalifa, L Wang
ICLR 2024, 2023
2*2023
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
X Liu, M Khalifa, L Wang
The Twelfth International Conference on Learning Representations, 2023
22023
Getting the Most out of Simile Recognition
X Wang, L Song, X Liu, C Zhou, J Su
EMNLP (Findings) 2022, 2022
22022
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
X Liu, FF Bayat, L Wang
arXiv preprint arXiv:2406.13230, 2024
12024
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression
FF Bayat, X Liu, H Jagadish, L Wang
Findings of the Association for Computational Linguistics ACL 2024, 12388-12400, 2024
2024
LITO: Learnable Intervention for Truthfulness Optimization
FF Bayat, X Liu, HV Jagadish, L Wang
ACL (Findings) 2024, 2024
2024
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models
X Wang, X Liu, L Wang, Y Wang, J Su, H Wu
EMNLP 2023, 2023
2023
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