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Tianxin Wei

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

4 papers in our library · 2025–2026

OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 17 times in our library · ⭐ Paper Stars ranking: #10193

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 States2026 · 4 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 7The 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 worksInformation Systems · 1 workHistory and Philosophy of Science · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 worksDialogue systems · 1 workReasoning · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence (2025 · 11 citations)
    Supplying a language model with evidence passages, whether retrieved or user-provided, should make its answers better grounded.
  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 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 17 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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