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Xin Dong

Xin Dong has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Information retrieval & search; often with Ameya Sunil Mahabaleshwarkar, Chris Xing Tian, Hao Sun.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 36 · 149 works · 7,426 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 82 times in our library · ⭐ Paper Stars ranking: #7525

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

🎓Jimei UniversityXiamen · China2025–2026 · 2 paperscurrent🏢AmazonSeattle · United States2016–2025 · 26 papers🏢AT&TBedminster · United States2008–2012 · 24 papers🏢GoogleMountain View · United States2013–2017 · 23 papers🎓University of WashingtonSeattle · United States2003–2007 · 10 papers🏥Chinese PLA General HospitalBeijing · China2008–2012 · 6 papers🎓Beijing Jiaotong UniversityBeijing · China2021–2025 · 4 papers🏢ByteDanceBeijing · China2023–2025 · 3 papers🎓Georgia Institute of TechnologyAtlanta · United States2018–2024 · 3 papers🏢MetaMenlo Park · United States2022–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 28 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).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksInformation retrieval & search · 1 work

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Hymba: A Hybrid-head Architecture for Small Language Models (2024 · 50 citations)
    Small language models must balance accuracy against memory and speed. Transformers recall context well, but their compute cost and KV cache grow quickly with sequence length. State space models such as Mamba run cheaply but recall poorly. Earlier hybrids stacked the two layer types one after another, so a weak layer…
  2. Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning (2025 · 11 citations)
    Retrievers trained to pick in-context learning demonstrations, such as EPR, beat simple heuristics like BM25 or off-the-shelf embeddings.
  3. IPS: In-Prompt Process Supervision for Short Video Content Moderation (2026)
    Content moderation of short videos depends on detailed, policy-specific criteria. General multimodal LLMs grasp overall video meaning but often miss these details when fine-tuned end-to-end on final verdicts only. The TikTok authors propose IPS (In-Prompt Process Supervision), which exploits a by-product of human…

 Co-authors here

12 of 15 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 82 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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