Litian Zhang

According to our database, Litian Zhang authored at least 50 papers between 2021 and 2026.

Collaborative distances:

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

2026

ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers.

Songyang Liu, Chaozhuo Li, Chenxu Wang, Jinyu Hou, Zejian Chen, Litian Zhang, Zheng Liu, Qiwei Ye, Yiming Hei, Xi Zhang, Zhongyuan Wang

CoRR, March, 2026

The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies.

Chenxu Wang, Chaozhuo Li, Songyang Liu, Zejian Chen, Jinyu Hou, Ji Qi, Rui Li, Litian Zhang, Qiwei Ye, Zheng Liu, Xu Chen, Xi Zhang, Philip S. Yu

CoRR, February, 2026

Jailbreaking LLMs & VLMs: Mechanisms, Evaluation, and Unified Defense.

Zejian Chen, Chaozhuo Li, Chao Li, Xi Zhang, Litian Zhang, Yiming He

CoRR, January, 2026

How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored Reference.

Songyang Liu, Chaozhuo Li, Rui Pu, Litian Zhang, Chenxu Wang, Zejian Chen, Yuting Zhang, Yiming Hei

CoRR, January, 2026

LANCET: Neural Intervention via Structural Entropy for Mitigating Faithfulness Hallucinations in LLMs.

Chenxu Wang, Chaozhuo Li, Pengbo Wang, Litian Zhang, Songyang Liu, Ji Qi, Jiahui Hu, Yushan Cai, Hao Zhao, Rui Pu

CoRR, January, 2026

DiaCOLQ: A benchmark for Chinese offensive language quadruple prediction in multi-turn dialogues.

Yifan Wang, Shun Zhang, Ziyi Zhou, Litian Zhang, Jiahao Bai, Junyu Lu, Bohan Fan, Fanliang Bu

Inf. Process. Manag., 2026

FineFake: A knowledge-enriched dataset for fine-grained multi-domain fake news detection.

Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Erik Cambria, Chaozhuo Li

Inf. Fusion, 2026

Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS.

Bingyu Yan, Xiaoming Zhang, Ziyi Zhou, Chaozhuo Li, Ruilin Zeng, Yirui Qi, Tianbo Wang, Litian Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting.

Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Immunity memory-based jailbreak detection: multi-agent adaptive guard for large language models.

Jun Leng, Litian Zhang, Xi Zhang

CoRR, December, 2025

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning.

Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang

CoRR, August, 2025

LLMs are Introvert.

Litian Zhang, Xiaoming Zhang, Bingyu Yan, Ziyi Zhou, Bo Zhang, Zhenyu Guan, Xi Zhang, Chaozhuo Li

CoRR, July, 2025

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models.

Chaozhuo Li, Pengbo Wang, Chenxu Wang, Litian Zhang, Zheng Liu, Qiwei Ye, Yuanbo Xu, Feiran Huang, Xi Zhang, Philip S. Yu

CoRR, July, 2025

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs.

Songyang Liu, Chaozhuo Li, Jiameng Qiu, Xi Zhang, Feiran Huang, Litian Zhang, Yiming Hei, Philip S. Yu

CoRR, June, 2025

Two Birds with One Stone: Improving Factuality and Faithfulness of LLMs via Dynamic Interactive Subspace Editing.

Pengbo Wang, Chaozhuo Li, Chenxu Wang, Liwen Zheng, Litian Zhang, Xi Zhang

CoRR, June, 2025

Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction.

Zhihao Tang, Chaozhuo Li, Litian Zhang, Xi Zhang

CoRR, June, 2025

Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection.

Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Yibo Zhang, Zhenyu Guan, Chaozhuo Li, Philip S. Yu

CoRR, June, 2025

MirrorGuard: Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting.

Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang

CoRR, March, 2025

Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation.

Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li

IEEE Trans. Knowl. Data Eng., February, 2025

Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems.

Bingyu Yan, Xiaoming Zhang, Litian Zhang, Lian Zhang, Ziyi Zhou, Dezhuang Miao, Chaozhuo Li

CoRR, February, 2025

Privacy-Preserving Image Retrieval in Cloud Computing via Adaptive Secret Keys and Self-Supervised Block-Augmented Pretraining.

Qihua Feng, Zhixun Lu, Litian Zhang, Chaozhuo Li, Feiran Huang, Jian Weng, Philip S. Yu

IEEE Trans. Serv. Comput., 2025

Heterogeneous network intrusion detection via domain adaptation in IoT environment.

Jun Zhang, Yao Li, Litian Zhang

Internet Technol. Lett., 2025

Knowledge-aware multimodal pre-training for fake news detection.

Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Philip S. Yu, Chaozhuo Li

Inf. Fusion, 2025

Beyond entity alignment: Towards complete knowledge graph alignment via entity-relation synergy.

Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong

Expert Syst. Appl., 2025

Contrastive learning with hard negatives for sentence embeddings.

Wenxiao Liu, Zihong Yang, Chaozhuo Li, Zijin Hong, Jianfeng Ma, Zhiquan Liu, Litian Zhang, Feiran Huang

Appl. Soft Comput., 2025

ModalSync: Synchronizing User Behavior with Multimodal Features for Multimodal Pre-training Recommendation.

Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling.

Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Diffusion Guided Propagation Augmentation for Popularity Prediction.

Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction.

Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Harnessing Counterfactual Reasoning for Explainable Multi-Modal Fact Verification with Large Language Models.

Chaozhuo Li, Hui Pang, Xi Zhang, Litian Zhang, Feiran Huang, Ming Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

LlmFixer: Fix the Helpfulness of Defensive Large Language Models.

Zelong Yu, Xiaoming Zhang, Litian Zhang, Yu Yuan, Chaozhuo Li

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

DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models.

Rui Ha, Chaozhuo Li, Rui Pu, Litian Zhang, Xi Zhang, Sen Su

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Reverse Chain-of-Thought and Causal Path Verification: A Modular Plugin for Aligning LLMs with Knowledge Graphs.

Dezhuang Miao, Yibin Du, Xiang Li, Xiaoming Zhang, Jiahe Li, Bo Zhang, Bingyu Yan, Lian Zhang, Litian Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

LLMCBR: Large Language Model-based Multi-View and Multi-Grained Learning for Bundle Recommendation.

Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training.

Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection.

Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning.

Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers.

Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Multi-task Hierarchical Heterogeneous Fusion Framework for multimodal summarization.

Litian Zhang, Xiaoming Zhang, Linfeng Han, Zelong Yu, Yun Liu, Zhoujun Li

Inf. Process. Manag., 2024

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives.

Wenxiao Liu, Zihong Yang, Chaozhuo Li, Zijin Hong, Jianfeng Ma, Zhiquan Liu, Litian Zhang, Feiran Huang

CoRR, 2024

Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs.

Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Xi Zhang

CoRR, 2024

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection.

Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Xi Zhang, Chaozhuo Li

CoRR, 2024

Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation.

Litian Zhang, Xiaoming Zhang, Chaozhuo Li, Ziyi Zhou, Jiacheng Liu, Feiran Huang, Xi Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting.

Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MDS: A Fine-Grained Dataset for Multi-Modal Dialogue Summarization.

Zhipeng Liu, Xiaoming Zhang, Litian Zhang, Zelong Yu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection.

Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li

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

2023

Unveiling hierarchical relationships for social image representation learning.

Linfeng Han, Xiaoming Zhang, Litian Zhang, Ming Lu, Feiran Huang, Yun Liu

Appl. Soft Comput., November, 2023

CISum: Learning Cross-modality Interaction to Enhance Multimodal Semantic Coverage for Multimodal Summarization.

Litian Zhang, Xiaoming Zhang, Ziming Guo, Zhipeng Liu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization.

Litian Zhang, Xiaoming Zhang, Junshu Pan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization.

Litian Zhang, Xiaoming Zhang, Junshu Pan, Feiran Huang

CoRR, 2021