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Yubo Wang

Yubo Wang has 3 papers in our library, in 2024–2026, most of them on Reasoning, Language models & pretraining, Evaluation & benchmarks; often with Bo Li, Ge Zhang, Graham Neubig.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 9 · 26 works · 412 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 675 times in our library · ⭐ Paper Stars ranking: #2854

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark (2024 · 761 citations)
    MMLU had become saturated as a benchmark. Frontier LLMs all clustered around 86–87%, scores shifted noticeably when the prompt changed, and part of the data was noisy or wrongly labelled. The authors built MMLU-Pro to give the field a harder test that separates models better.
  2. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale (2025 · 40 citations)
    Open-source multimodal LLMs tend to struggle with complex reasoning. A major reason is that their instruction-tuning data is mostly recycled from academic VQA-style sets such as VQA, AI2D, and ChartQA, which offer short answers and no step-by-step justification. The authors propose a low-cost pipeline built entirely…
  3. Forest Before Trees: Latent Superposition for Efficient Visual Reasoning (2026 · 3 citations)
    Chain-of-Thought helps vision-language models reason step by step. However, spelling out rationales as discrete text loses much of the continuous visual signal. Existing latent-reasoning methods avoid text but still train each hidden state to predict one exact next token, which pushes the model to commit to specific…

 Co-authors here

12 of 17 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 675 times (of the 149,439 papers whose bibliographies we read); 191 citing papers with a page here →.

Updated

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