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Song Wang — most-cited papers & profile · Large Language Models
← authors
·
overview
Song Wang
73
papers ·
349
citations ·
54
h-index
North University of China · Southwest University · York University · Taiyuan Heavy Industry (China)
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Most-cited papers
Knowledge Editing For Large Language Models: A Survey
2023 · 240 citations
Knowledge Graph-enhanced Large Language Models Via Path Selection
2024 · 48 citations
Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning
2025
How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge
2026
Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion
2026
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation
2025
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
2025
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
2025
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning
2025
Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps
2025
The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation
2025
Complex Logical Instruction Generation
2025
TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning
2025
RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
2025
Communication to Completion: Modeling Collaborative Workflows with Intelligent Multi-Agent Communication
2025
Top co-authors
Jundong Li
· 4
Zhen Tan
· 4
Julian Shun
· 3
Junhong Lin
· 3
Kaiqiang Song
· 3
Sathish Reddy Indurthi
· 3
Shujian Liu
· 3
Tianlong Chen
· 3
Zihan Chen
· 3
Cong Shen
· 2
Haochen Liu
· 2
Haoyun Deng
· 2
Topics
Efficiency
Evaluation
Fine-Tuning
RAG
Agentic
In-Context Learning
Reinforcement Learning
Code
Training Techniques
Prompting