Elamur Research⌕
☰
home / authors / Xiyuan Zhang

Xiyuan Zhang

Xiyuan Zhang has 2 papers in our library, in 2019–2026, most of them on Information retrieval & search; often with Guo Tang, Haifeng Wang, Hua Ren Wu.

2 papers in our library · 2019–2026

OpenAlex · ORCID · h-index 12 · 42 works · 582 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 63 times in our library · ⭐ Paper Stars ranking: #6406

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Xi’an University of Posts and TelecommunicationsXi'an · China2026 · 1 papercurrent🎓University of California San DiegoSan Diego · United States2022–2025 · 12 papers🎓Harbin Normal UniversityHarbin · China2022–2023 · 3 papers🏛️Chinese Academy of SciencesBeijing · China2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Information retrieval & search · 1 work

 Works by year

2020s

20261 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Proactive Human-Machine Conversation with Explicit Conversation Goal (2019 · 206 citations)
    Most dialogue systems simply react to the user and do not steer the exchange. This Baidu paper defines a task in which an agent must actively guide a chat toward a preset target: a two-hop path "[start] → topic a → topic b", where each topic is an entity in a knowledge graph. The authors crawled movie and film-star…
  2. LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning (2026)
    Retrieval-augmented generation (RAG) helps large language models stay factually grounded. In multi-step reasoning, however, answers can still contradict themselves or skip inference steps. Iterative and self-reflective systems such as IRCoT and Self-RAG try to fix this, but they depend on the model judging its own…

 Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xiyuan-zhang/