Xinbang Dai

Orcid: 0000-0001-9547-5663

According to our database1, Xinbang Dai authored at least 14 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FORCE: A Benchmark for Formula Reasoning and Comprehension in Academic Papers.
Proceedings of the Database Systems for Advanced Applications, 2026

2025
ELAIPBench: A Benchmark for Expert-Level Artificial Intelligence Paper Understanding.
CoRR, October, 2025

Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoning.
CoRR, August, 2025

OneEval: Benchmarking LLM Knowledge-intensive Reasoning over Diverse Knowledge Bases.
CoRR, June, 2025

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models.
CoRR, June, 2025

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems.
CoRR, June, 2025

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in RAG.
CoRR, May, 2025

Question answering over spatio-temporal knowledge graph.
Knowl. Based Syst., 2025

Large language models can better understand knowledge graphs than we thought.
Knowl. Based Syst., 2025

BAG-RAG: Bidirectional Retrieval-Augmented Generation Based on Multi-Layer Semantic Graphs for Budget Auditing QA.
Proceedings of the Database Systems for Advanced Applications, 2025

2024
Question Answering Over Spatio-Temporal Knowledge Graph.
CoRR, 2024

Counter-intuitive: Large Language Models Can Better Understand Knowledge Graphs Than We Thought.
CoRR, 2024

2023
Joint linking of entity and relation for question answering over knowledge graph.
Multim. Tools Appl., December, 2023

2022
SPaReL: A Semantic Parsing Relation Linking Method for Knowledge Base Question Answering.
Proceedings of the 11th International Joint Conference on Knowledge Graphs, 2022


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