Aiwei Liu

According to our database, Aiwei Liu authored at least 56 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

VLA-Mark: A cross modal watermark for large vision-language alignment model.

Shuliang Liu, Qi Zheng, Jesse Jiaxi Xu, Yibo Yan, He Geng, Aiwei Liu, Peijie Jiang, Jia Liu, Yik-Cheung Tam, Xuming Hu

CoRR, July, 2025

A Survey of AIOps in the Era of Large Language Models.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li

CoRR, July, 2025

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.

Shuliang Liu, Hongyi Liu, Aiwei Liu, Bingchen Duan, Qi Zheng, Yibo Yan, He Geng, Peijie Jiang, Jia Liu, Xuming Hu

CoRR, July, 2025

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy.

Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Chunyu Miao, Dongyuan Li, Aiwei Liu, Yue Zhou, Yankai Chen, Weizhi Zhang, Yangning Li, Liancheng Fang, Renhe Jiang, Philip S. Yu

CoRR, June, 2025

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection.

Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu

CoRR, May, 2025

SSR: Speculative Parallel Scaling Reasoning in Test-time.

Yuanlin Chu, Bo Wang, Xiang Liu, Hong Chen, Aiwei Liu, Xuming Hu

CoRR, May, 2025

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality.

Junyan Zhang, Shuliang Liu, Aiwei Liu, Yubo Gao, Jungang Li, Xiaojie Gu, Xuming Hu

CoRR, April, 2025

VideoMark: A Distortion-Free Robust Watermarking Framework for Video Diffusion Models.

Xuming Hu, Hanqian Li, Jungang Li, Aiwei Liu

CoRR, April, 2025

Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking.

Yijie Xu, Aiwei Liu, Xuming Hu, Lijie Wen, Hui Xiong

CoRR, March, 2025

Semi-Supervised In-Context Learning: A Baseline Study.

Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu

CoRR, March, 2025

A Survey of Text Watermarking in the Era of Large Language Models.

Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu

ACM Comput. Surv., February, 2025

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap.

Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu

CoRR, January, 2025

Entropy-Based Decoding for Retrieval-Augmented Large Language Models.

Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents.

Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.

Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Can Watermarked LLMs be Identified by Users via Crafted Prompts?

Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary.

Yutong Li, Lu Chen, Aiwei Liu, Kai Yu, Lijie Wen

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?

Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.

Shuliang Liu, Hongyi Liu, Aiwei Liu, Bingchen Duan, Zheng Qi, Yibo Yan, He Geng, Peijie Jiang, Jia Liu, Xuming Hu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation.

Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions.

Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu

IEEE Trans. Knowl. Data Eng., May, 2024

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Aiwei Liu, Xuming Hu

CoRR, 2024

Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs.

Yifei Zhang, Hao Zhu, Aiwei Liu, Han Yu, Piotr Koniusz, Irwin King

CoRR, 2024

Recent Advances of Multimodal Continual Learning: A Comprehensive Survey.

Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King

CoRR, 2024

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.

Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu

CoRR, 2024

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao

CoRR, 2024

Interpretable Contrastive Monte Carlo Tree Search Reasoning.

Zitian Gao, Boye Niu, Xuzheng He, Haotian Xu, Hongzhang Liu, Aiwei Liu, Xuming Hu, Lijie Wen

CoRR, 2024

WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents.

Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu

CoRR, 2024

Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities.

Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong

CoRR, 2024

A Survey of AIOps for Failure Management in the Era of Large Language Models.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li

CoRR, 2024

MarkLLM: An Open-Source Toolkit for LLM Watermarking.

Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King

CoRR, 2024

Preventing and Detecting Misinformation Generated by Large Language Models.

Aiwei Liu, Qiang Sheng, Xuming Hu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

A Semantic Invariant Robust Watermark for Large Language Models.

Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Unforgeable Publicly Verifiable Watermark for Large Language Models.

Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities.

Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong

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

On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations.

Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen

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

An Entropy-based Text Watermarking Detection Method.

Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models.

Zhiwei He, Binglin Zhou, Hongkun Hao, Aiwei Liu, Xing Wang, Zhaopeng Tu, Zhuosheng Zhang, Rui Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference.

Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu

IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Survey of Text Watermarking in the Era of Large Language Models.

Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

CoRR, 2023

A Private Watermark for Large Language Models.

Aiwei Liu, Leyi Pan, Xuming Hu, Shu'ang Li, Lijie Wen, Irwin King, Philip S. Yu

CoRR, 2023

A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability.

Aiwei Liu, Xuming Hu, Lijie Wen, Philip S. Yu

CoRR, 2023

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction.

Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition.

Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu

Proceedings of the IEEE International Conference on Acoustics, 2023

RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction.

Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen

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

AMR-based Network for Aspect-based Sentiment Analysis.

Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing.

Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen

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

Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer.

Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen

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

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.

Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu

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

Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.

Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu

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

2022

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks.

Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu

CoRR, 2022

CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.

Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph.

Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen

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

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution.

Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen

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