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Xuying Ning

Xuying Ning has 4 papers in our library, in 2025–2026, most of them on Reasoning, Vision & language, Language models & pretraining; often with Hanghang Tong, Jingrui He, Tianxin Wei.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 36 works · 23 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #9053

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

🎓University of Illinois Urbana-ChampaignUrbana · United States2024–2026 · 31 papersEmployment since 2024current🎓Xi'an Jiaotong UniversityXi'an · China2020–2024Employment 2020–2024

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).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 3 worksHistory and Philosophy of Science · 1 work

🧭 Topics 4Research subjects and languages the work is about.Reasoning · 2 worksVision & language · 2 worksLanguage models & pretraining · 1 workDialogue systems · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time (2025 · 10 citations)
    Models like OpenAI o1 and DeepSeek-R1, known as large reasoning models (LRMs), frequently overthink or underthink at inference time.
  2. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents (2026 · 6 citations)
    Agents built on multimodal large language models (MLLMs) need to remember what users show and tell them over many conversations.
  3. Harnessing Consistency for Robust Test-Time LLM Ensemble (2026 · 2 citations)
    Test-time ensembles of large language models aim to combine the complementary strengths of different LLMs.
  4. PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs (2026 · 2 citations)
    PaperMind is a benchmark for testing whether multimodal LLMs can reason about scientific papers in an integrated, agent-like way.

 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 19 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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