Mengdi Li

According to our database, Mengdi Li authored at least 27 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models.

Liangyu Wang, Huanyi Xie, Xinhai Wang, Tianjin Huang, Mengdi Li, Di Wang

CoRR, June, 2025

Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback.

Mengdi Li, Jiaye Lin, Xufeng Zhao, Wenhao Lu, Peilin Zhao, Stefan Wermter, Di Wang

CoRR, May, 2025

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation.

Tong Li, Shu Yang, Junchao Wu, Jiyao Wei, Lijie Hu, Mengdi Li, Derek F. Wong, Joshua R. Oltmanns, Di Wang

CoRR, February, 2025

Towards User-level Private Reinforcement Learning with Human Feedback.

Jiaming Zhang, Mingxi Lei, Meng Ding, Mengdi Li, Zihang Xiang, Difei Xu, Jinhui Xu, Di Wang

CoRR, February, 2025

Understanding the Repeat Curse in Large Language Models from a Feature Perspective.

Junchi Yao, Shu Yang, Jianhua Xu, Lijie Hu, Mengdi Li, Di Wang

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

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements.

Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang

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

2024

What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs.

Shu Yang, Shenzhe Zhu, Ruoxuan Bao, Liang Liu, Yu Cheng, Lijie Hu, Mengdi Li, Di Wang

CoRR, 2024

Understanding Reasoning in Chain-of-Thought from the Hopfieldian View.

Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Zhen Tan, Muhammad Asif Ali, Mengdi Li, Di Wang

CoRR, 2024

A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning.

Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Hongru Xiao, Mengdi Li, Pan Zhou, Muhammad Asif Ali, Di Wang

CoRR, 2024

Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs.

Shu Yang, Jiayuan Su, Han Jiang, Mengdi Li, Keyuan Cheng, Muhammad Asif Ali, Lijie Hu, Di Wang

CoRR, 2024

Large Language Models for Orchestrating Bimanual Robots.

Kun Chu, Xufeng Zhao, Cornelius Weber, Mengdi Li, Wenhao Lu, Stefan Wermter

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic.

Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter

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

Causal State Distillation for Explainable Reinforcement Learning.

Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter

Proceedings of the Causal Learning and Reasoning, 2024

2023

Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models.

Kun Chu, Xufeng Zhao, Cornelius Weber, Mengdi Li, Stefan Wermter

CoRR, 2023

Chat with the Environment: Interactive Multimodal Perception Using Large Language Models.

Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter

IROS, 2023

Internally Rewarded Reinforcement Learning.

Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter

Proceedings of the International Conference on Machine Learning, 2023

A Closer Look at Reward Decomposition for High-Level Robotic Explanations.

Wenhao Lu, Xufeng Zhao, Sven Magg, Martin Gromniak, Mengdi Li, Stefan Wermter

Proceedings of the IEEE International Conference on Development and Learning, 2023

Visually Grounded Commonsense Knowledge Acquisition.

Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Spatial relation learning in complementary scenarios with deep neural networks.

Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter

Frontiers Neurorobotics, September, 2022

Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture.

Xiaowen Sun, Cornelius Weber, Matthias Kerzel, Tom Weber, Mengdi Li, Stefan Wermter

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Robotic Occlusion Reasoning for Efficient Object Existence Prediction.

Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Visual Distant Supervision for Scene Graph Generation.

Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Modern imaging techniques in plant nutrition analysis: A review.

Daoliang Li, Cheng Li, Yuan Yao, Mengdi Li, Licheng Liu

Comput. Electron. Agric., 2020

Neural Networks for Detecting Irrelevant Questions During Visual Question Answering.

Mengdi Li, Cornelius Weber, Stefan Wermter

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Generating steganographic image description by dynamic synonym substitution.

Mengdi Li, Kai Mu, Ping Zhong, Juan Wen, Yiming Xue

Signal Process., 2019

A novel natural language steganographic framework based on image description neural network.

Juan Wen, Xuejing Zhou, Mengdi Li, Ping Zhong, Yiming Xue

J. Vis. Commun. Image Represent., 2019

Image Steganalysis in High-Dimensional Feature Spaces with Proximal Support Vector Machine.

Ping Zhong, Mengdi Li, Kai Mu, Juan Wen, Yiming Xue

Int. J. Digit. Crime Forensics, 2019