Ruoyu Zhang

Orcid: 0009-0000-3871-6424

Affiliations:
  • Peking University, Wangxuan Institute of Computer Technology, Beijing, China


According to our database1, Ruoyu Zhang authored at least 12 papers between 2021 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
DySpec: Faster speculative decoding with dynamic token tree structure.
World Wide Web (WWW), May, 2025

Synergistic Knowledge Integration for Answering Complex Questions with Multiple Sources.
Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024
DySpec: Faster Speculative Decoding with Dynamic Token Tree Structure.
CoRR, 2024

Leveraging Large Language Model as Simulated Patients for Clinical Education.
CoRR, 2024

2023
Two is Better Than One: Answering Complex Questions by Multiple Knowledge Sources with Generalized Links.
CoRR, 2023

Exploiting Ubiquitous Mentions for Document-Level Relation Extraction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LLMaAA: Making Large Language Models as Active Annotators.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AtTGen: Attribute Tree Generation for Real-World Attribute Joint Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Deep-gAnswer: A Knowledge Based Question Answering System.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021


  Loading...