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Cheng Yang — most-cited papers & profile · Large Language Models
← authors
·
overview
Cheng Yang
81
papers ·
641
citations ·
36
h-index
IE University · Central South University · Zhejiang University of Science and Technology · China Tobacco · Institute of Archaeology · Hangzhou Dianzi University · Xinjiang University
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Most-cited papers
Moe-i\(^2\): Compressing Mixture Of Experts Models Through Inter-expert Pruning And Intra-expert Low-rank Decomposition
2024 · 42 citations
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
2023 · 22 citations
ParaTool: Shifting Tool Representations from Context to Parameters
2026
MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
2026
Gnnverifier: Graph-based Verifier For LLM Task Planning
2026
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
2026
From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning
2026
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
2025
Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration
2025
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
2025
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
2024
LLM2: Let Large Language Models Harness System 2 Reasoning
2024
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
2024
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
2024
A Survey on the Honesty of Large Language Models
2024
Top co-authors
Chen Qian
· 4
Chuan Shi
· 4
Chufan Shi
· 4
Yujiu Yang
· 4
Maosong Sun
· 3
Siheng Li
· 3
Zhiyuan Liu
· 3
Bo Shui
· 2
Botian Shi
· 2
Daocheng Fu
· 2
Deng Cai
· 2
Jianbiao Mei
· 2
Topics
Efficiency
Training Techniques
Evaluation
Agentic
Reinforcement Learning
Code
Model Architecture
Fine-Tuning
Safety & Alignment
Vision-Language