Demo Data from EDBT 2026 / reviewers in the wild / expert
Runxuan Liu
dblp:400/4381
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
Knowledge representation and reasoning · 24% Graph learning · 24% Reinforcement learning · 24% | |
| Databases, data mining, and information retrieval
1 paper |
Knowledge graphs · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Graph learning
graph reasoning |
1.0 | 1 | 2026 | Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models · ACL (1) 2026 |
Machine learning › Reinforcement learning
reinforcement learning for reasoning |
1.0 | 1 | 2026 | Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models · ACL (1) 2026 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
structured reasoning |
1.0 | 1 | 2026 | Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models · ACL (1) 2026 |
Natural language and speech › Question answering and dialogue systems
knowledge base question answering |
0.9 | 1 | 2025 | Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering · ACL (1) 2025 |
Natural language and speech › Language models and text generation
large language model reasoning |
0.3 | 1 | 2026 | Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models · ACL (1) 2026 |
Knowledge graphs
knowledge graph reasoning |
0.3 | 1 | 2025 | Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering · ACL (1) 2025 |
Methods — techniques the papers use, named apart from their topics
ontology-guided reverse thinking · 1.7large language model · 1.7topology-aware reasoning · 1.0symbolic reasoning · 1.0reinforcement learning · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language ModelsabstractRunxuan Liu, Xianhao Ou, Xinyan Ma, Jiyuan Wang, Jiafeng Liang, Jiaqi Li, Tao He, Zheng Chu, Rongchuan Mu, Zekun Wang, Baoxin Wang, Dayong Wu, Ming Liu, Shijin Wang, Guoping Hu, Bing Qin. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Runxuan Liu, Xianhao Ou, Xinyan Ma, Jiafeng Liang, Jiaqi Li 0004, Tao He 0014, Rongchuan Mu, Zekun Wang 0001, Baoxin Wang, Dayong Wu, Ming Liu 0004, Shijin Wang 0001, Bing Qin 0001 |
ACL (1) | 1 |
| 2025 | Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question AnsweringabstractRunxuan Liu, Luobei Luobei, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025. Runxuan Liu, Luobei Luobei, Jiaqi Li 0004, Baoxin Wang, Ming Liu 0007, Dayong Wu, Shijin Wang 0001, Bing Qin 0001 |
ACL (1) | 1 |