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ORCIDMengdi Li 0006
Person information
- affiliation: King Abdullah University of Science and Technology (KAUST), Saudi Arabia
- affiliation (former): University of Hamburg, Germany
Other persons with the same name
- Mengdi Li — disambiguation page
- Mengdi Li 0001
![[0000-0003-2749-6053]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2749-6053")
— Yanshan University, Qinhuangdao, China - Mengdi Li 0002 — Central South University, Changsha, China
- Mengdi Li 0003 — Tianjin University, Tianjin, China
- Mengdi Li 0004 — Yanshan University, Qinhuangdao, Hebei, China
- Mengdi Li 0005 — China Education and Research Network, Beijing, China
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Journal Articles
- 2022
[j5]Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter:
Spatial relation learning in complementary scenarios with deep neural networks. Frontiers Neurorobotics 16 (2022)- 2020
- [j4]Daoliang Li, Cheng Li, Yuan Yao, Mengdi Li, Licheng Liu:
Modern imaging techniques in plant nutrition analysis: A review. Comput. Electron. Agric. 174: 105459 (2020) - 2019
- [j3]Ping Zhong, Mengdi Li, Kai Mu, Juan Wen, Yiming Xue:
Image Steganalysis in High-Dimensional Feature Spaces with Proximal Support Vector Machine. Int. J. Digit. Crime Forensics 11(1): 78-89 (2019) - [j2]Juan Wen, Xuejing Zhou, Mengdi Li, Ping Zhong, Yiming Xue:
A novel natural language steganographic framework based on image description neural network. J. Vis. Commun. Image Represent. 61: 157-169 (2019) - [j1]Mengdi Li, Kai Mu, Ping Zhong, Juan Wen, Yiming Xue:
Generating steganographic image description by dynamic synonym substitution. Signal Process. 164: 193-201 (2019)
Conference and Workshop Papers
- 2025
- [c13]Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang:
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements. ACL (Findings) 2025: 4374-4420 - [c12]Junchi Yao, Shu Yang, Jianhua Xu, Lijie Hu, Mengdi Li, Di Wang:
Understanding the Repeat Curse in Large Language Models from a Feature Perspective. ACL (Findings) 2025: 7787-7815 - 2024
- [c11]Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter:
Causal State Distillation for Explainable Reinforcement Learning. CLeaR 2024: 106-142 - [c10]Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter:
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. LREC/COLING 2024: 6144-6166 - [c9]Kun Chu, Xufeng Zhao, Cornelius Weber, Mengdi Li, Wenhao Lu, Stefan Wermter:
Large Language Models for Orchestrating Bimanual Robots. Humanoids 2024: 328-334 - 2023
- [c8]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. AAAI 2023: 6583-6592 - [c7]Wenhao Lu, Xufeng Zhao, Sven Magg, Martin Gromniak, Mengdi Li, Stefan Wermter:
A Closer Look at Reward Decomposition for High-Level Robotic Explanations. ICDL 2023: 429-436 - [c6]Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Internally Rewarded Reinforcement Learning. ICML 2023: 20556-20574 - [c5]Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Chat with the Environment: Interactive Multimodal Perception Using Large Language Models. IROS 2023: 3590-3596 - 2022
- [c4]Xiaowen Sun, Cornelius Weber, Matthias Kerzel, Tom Weber, Mengdi Li, Stefan Wermter:
Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture. ICANN (2) 2022: 258-269 - 2021
- [c3]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. ICCV 2021: 15796-15806 - [c2]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. IROS 2021: 2686-2692 - 2020
- [c1]Mengdi Li, Cornelius Weber, Stefan Wermter:
Neural Networks for Detecting Irrelevant Questions During Visual Question Answering. ICANN (2) 2020: 786-797
Informal and Other Publications
- 2025
- [i19]Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang:
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements. CoRR abs/2502.12904 (2025) - [i18]Jiaming Zhang, Mingxi Lei, Meng Ding, Mengdi Li, Zihang Xiang, Difei Xu, Jinhui Xu, Di Wang:
Towards User-level Private Reinforcement Learning with Human Feedback. CoRR abs/2502.17515 (2025) - [i17]Tong Li, Shu Yang, Junchao Wu, Jiyao Wei, Lijie Hu, Mengdi Li, Derek F. Wong, Joshua R. Oltmanns, Di Wang:
Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation. CoRR abs/2502.17899 (2025) - [i16]Junchi Yao, Shu Yang, Jianhua Xu, Lijie Hu, Mengdi Li, Di Wang:
Understanding the Repeat Curse in Large Language Models from a Feature Perspective. CoRR abs/2504.14218 (2025) - [i15]Mengdi Li, Jiaye Lin, Xufeng Zhao, Wenhao Lu, Peilin Zhao, Stefan Wermter, Di Wang:
Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback. CoRR abs/2505.20075 (2025) - [i14]Liangyu Wang, Huanyi Xie, Xinhai Wang, Tianjin Huang, Mengdi Li, Di Wang:
Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models. CoRR abs/2506.22950 (2025) - 2024
- [i13]Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter:
Causal State Distillation for Explainable Reinforcement Learning. CoRR abs/2401.00104 (2024) - [i12]Shu Yang, Jiayuan Su, Han Jiang, Mengdi Li, Keyuan Cheng, Muhammad Asif Ali, Lijie Hu, Di Wang:
Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs. CoRR abs/2404.00486 (2024) - [i11]Kun Chu, Xufeng Zhao, Cornelius Weber, Mengdi Li, Wenhao Lu, Stefan Wermter:
Large Language Models for Orchestrating Bimanual Robots. CoRR abs/2404.02018 (2024) - [i10]Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Hongru Xiao, Mengdi Li, Pan Zhou, Muhammad Asif Ali, Di Wang:
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning. CoRR abs/2406.12255 (2024) - [i9]Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Zhen Tan, Muhammad Asif Ali, Mengdi Li, Di Wang:
Understanding Reasoning in Chain-of-Thought from the Hopfieldian View. CoRR abs/2410.03595 (2024) - [i8]Shu Yang, Shenzhe Zhu, Ruoxuan Bao, Liang Liu, Yu Cheng, Lijie Hu, Mengdi Li, Di Wang:
What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs. CoRR abs/2410.10863 (2024) - 2023
- [i7]Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Internally Rewarded Reinforcement Learning. CoRR abs/2302.00270 (2023) - [i6]Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Chat with the Environment: Interactive Multimodal Perception using Large Language Models. CoRR abs/2303.08268 (2023) - [i5]Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter:
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. CoRR abs/2309.13339 (2023) - [i4]Kun Chu, Xufeng Zhao, Cornelius Weber, Mengdi Li, Stefan Wermter:
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models. CoRR abs/2311.02379 (2023) - 2022
- [i3]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Haitao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. CoRR abs/2211.12054 (2022) - 2021
- [i2]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. CoRR abs/2103.15365 (2021) - [i1]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. CoRR abs/2107.12095 (2021)
Coauthor Index
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