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Siyue Zhang

Siyue Zhang has 3 papers in our library, in 2025–2026, most of them on Information retrieval & search, Language models & pretraining, Evaluation & benchmarks; often with Yilun Zhao, Tingyu Song, Anh Tuan Luu.

3 papers in our library · 2025–2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 8 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9897

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

🎓Nanyang Technological UniversitySingapore · Singapore2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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).Computer Science · 3 worksArts and Humanities · 2 worksInformation Systems · 3 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workInformation retrieval & search · 2 worksEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective (2025 · 10 citations)
    Embedding models built on decoder-only LLMs have become very strong. However, they inherit causal attention from pre-training: each token's representation ignores everything that follows it. This is a poor fit for embedding tasks, which benefit from seeing the whole text at once. The authors propose DiffEmbed, which…
  2. A Survey of Reasoning-Intensive Retrieval: Progress and Challenges (2026)
    This survey maps the emerging field of Reasoning-Intensive Retrieval (RIR). In RIR, a document counts as relevant because of an implicit chain of inference linking it to the query, not because the two share words or meaning. One example: finding text on how dissolved salt behaves when seawater is boiled, in answer to…
  3. Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing (2026)
    Existing Composed Image Retrieval (CIR) benchmarks such as CIRR, FashionIQ and CIRCO cover few modification types and have overlapping category labels.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Diffusion vs. Autoregressive Language Models: A Text Embedding PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP)Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.2025 · 10 citations
  2. A Survey of Reasoning-Intensive Retrieval: Progress and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyang Wei, Tingyu Song, Siyue Zhang, et al.2026
  3. Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Tingyu Song, Yanzhao Zhang, Mingxin Li, et al.2026
  4. Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYilun Zhao et al.2026

 Co-authors here

10 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 8 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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