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Xiaofen Xing

Xiaofen Xing has 2 papers in our library, in 2025–2026, most of them on Information retrieval & search; often with Xiangmin Xu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 22 · 161 works · 1,878 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 61 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8485

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

🎓South China University of TechnologyGuangzhou · China2011–2026 · 138 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksPsychology · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksApplied Psychology · 1 workExperimental and Cognitive Psychology · 1 workInformation Systems · 1 work

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling (2025 · 30 citations)
    Mental health LLMs are usually trained on dialogue data that mixes many counselors. As a result, they cannot reproduce how one particular therapist works, and the blended styles can make their answers inconsistent. PsyDT builds a "digital twin" of a single counselor without collecting large numbers of that person's…
  2. Momoka-RAG: MCTS-Organized Mapping of Knowledge Associations for Long-Document Retrieval Augmented Generation (2026)
    Momoka-RAG targets retrieval over long documents. In that setting, standard chunking breaks cross-paragraph context, and structure-building frameworks such as RAPTOR (clustering into summary trees) and GraphRAG (entity graphs) find only shallow, statistics-driven links between chunks. The authors argue these methods…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetYirong Chen et al.2023 · 122 citations
  2. ISNet: Individual Standardization Network for Speech Emotion Recognition ↗IEEE/ACM Transactions on Audio Speech and Language Processing · no summary yetWeiquan Fan et al.2022 · 58 citations
  3. PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological CounselingAnnual Meeting of the Association for Computational Linguistics (ACL)Haojie Xie, Yirong Chen, Xiaofen Xing, et al.2025 · 30 citations
  4. Momoka-RAG: MCTS-Organized Mapping of Knowledge Associations for Long-Document Retrieval Augmented GenerationFindings of the Association for Computational LinguisticsWenyu Tao, Xiaofen Xing, Zeliang Li, et al.2026

 Co-authors here

1 co-author 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 61 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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