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Dacheng Tao — most-cited papers & profile · Large Language Models
← authors
·
overview
Dacheng Tao
165
papers ·
1462
citations ·
155
h-index
The University of Sydney · Nanyang Technological University · UNSW Sydney
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Semantic Scholar ↗
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Most-cited papers
Position: AI Agents Are Not (yet) A Panacea For Social Simulation
2026
VTC-R1: Vision-Text Compression for Efficient Long-Context Reasoning
2026
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
2025
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
2025
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
2025
AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
2025
Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities
2025
R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO
2025
MLLMs are Deeply Affected by Modality Bias
2025
GeometryZero: Improving Geometry Solving for LLM with Group Contrastive Policy Optimization
2025
Improving large language models with concept-aware fine-tuning
2025
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
2025
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation
2023
Top co-authors
Li Shen
· 4
Yibo Wang
· 4
Fan Zhang
· 2
Haiying He
· 2
Haotian Luo
· 2
Jianyuan Guo
· 2
Jiaxing Huang
· 2
Naiqiang Tan
· 2
Philip S. Yu
· 2
Xiaochun Cao
· 2
Xuming Hu
· 2
Yiming Li
· 2
Topics
Training Techniques
Efficiency
Fine-Tuning
Evaluation
Survey Paper
Vision-Language
RAG
Model Architecture
Agentic
In-Context Learning