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Wei Xue

Wei Xue has 3 papers in our library, in 2018–2024, most of them on Sentiment & emotion, Information retrieval & search; often with Chi-Min Chan, Jie Fu, Chunpu Xu.

3 papers in our library · 2018–2024

OpenAlex · ORCID · Wikidata · h-index 12 · 55 works · 421 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 476 times in our library · ⭐ Paper Stars ranking: #2403

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

🎓Hong Kong University of Science and TechnologyHong Kong · China2023–2026 · 94 paperscurrent🎓Imperial College LondonLondon · United Kingdom2016–2022 · 11 papers🏛️Chinese Academy of SciencesBeijing · China2013–2016 · 11 papers🔬Institute of AutomationBeijing · China2013–2016 · 9 papers🏢JingdongBeijing · China2020–2021 · 4 papers🎓Hong Kong Baptist UniversityHong Kong · China2022–2023 · 3 papers🎓University of Chinese Academy of SciencesBeijing · China2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Sentiment & emotion · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20241 paper20231 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Aspect Based Sentiment Analysis with Gated Convolutional Networks (2018 · 731 citations)
    The paper addresses aspect based sentiment analysis (ABSA), which assigns a polarity to a specific aspect rather than to a whole review.
  2. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate (2023 · 359 citations)
    Judging the quality of generated text is costly when done by people. N-gram metrics such as BLEU, Rouge and METEOR are cheap but align poorly with human opinion on open-ended outputs. Using a single LLM as a judge narrows this gap but does not yet reach human-level quality. ChatEval responds by turning evaluation…
  3. RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation (2024 · 90 citations)
    Retrieval-augmented LLMs usually send the user's raw input straight to the search step. This works poorly in three cases. Simple inputs like greetings need no retrieval at all. Multi-step questions need splitting into parts. Vague questions have several valid readings. RQ-RAG addresses this by teaching a 7B Llama2…

 Co-authors here

11 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 476 times (of the 149,439 papers whose bibliographies we read); 114 citing papers with a page here →.

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