Mingzhe Li
22 papers · 2020–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Natural Language Processing
(12)
Artificial Intelligence
(11)
Deep Learning
(11)
Machine Learning
(11)
Core AI
(11)
Learning Types Β· Deep Learning
(8)
Generation
(7)
Learning Types Β· Machine Learning
(7)
Computer Vision
(4)
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Reinforcement Learning
(2)
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Keywords
large language model
(4)
reinforcement learning
(3)
adversarial learning
(2)
vision-language model
(2)
representation learning
(2)
data augmentation
(2)
text summarization
(2)
text generation
(2)
contrastive learning
(2)
abstractive summarization
(2)
latent space
(2)
graph neural network
(2)
in-context learning
(2)
attention mechanism
(2)
self-supervised learning
(1)
link prediction
(1)
model robustness
(1)
video generation
(1)
transformer architecture
(1)
similarity learning
(1)
Papers
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models
ACL 2026
ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models
AAAI 2026
PROMPTMINER: Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement Learning and VLM-Guided Optimization
CVPR 2026
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
CVPR 2026
Towards Motion Turing Test: Evaluating Human-Likeness in Humanoid Robots
CVPR 2026
When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection
ACL 2026
Demonstration Selection for In-Context Learning via Reinforcement Learning
ICML 2025
Flipping Knowledge Distillation: Leveraging Small Modelsβ Expertise to Enhance LLMs in Text Matching
ACL 2025
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
EMNLP 2025
Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation
ACL 2025
Multi-scale Context-Aware Networks Based on Fragment Association for Human Activity Recognition
IJCAI 2024
Dialogue Summarization with Static-Dynamic Structure Fusion Graph
ACL 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
ACL 2023
Learning towards Selective Data Augmentation for Dialogue Generation
AAAI 2023
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation
ACL 2022
Pairwise Contrastive Learning Network for Action Quality Assessment
ECCV 2022
Scientific Paper Extractive Summarization Enhanced by Citation Graphs
EMNLP 2022
Towards Improving Faithfulness in Abstractive Summarization
NeurIPS 2022
Unsupervised Mitigating Gender Bias by Character Components: A Case Study of Chinese Word Embedding
NAACL 2022
Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation
ACL 2021
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement
AAAI 2021
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles
EMNLP 2020