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Tongtong Wu

Tongtong Wu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Information retrieval & search; often with An Zhang, Bing Qin, Jiahe Guo.

3 papers in our library · 2025–2026

OpenAlex · h-index 1 · 10 works · 1 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 7 times in our library · ⭐ Paper Stars ranking: #10013

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

🎓Monash UniversityMelbourne · Australia2025–2026 · 10 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).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 1 workMultilingual & cross-lingual NLP · 1 workInformation retrieval & search · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MPO: Multilingual Safety Alignment via Reward Gap Optimization (2025 · 7 citations)
    Safety-tuned LLMs refuse harmful requests reliably in English but much less so in lower-resource languages.
  2. QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation (2026 · 2 citations)
    Dynamic RAG systems decide during generation when to fetch external evidence. Most rely on model-internal signals such as token probabilities, entropy or attention, but LLMs are poorly calibrated and can be confidently wrong. QuCo-RAG replaces these signals with counts taken from the model's pre-training corpus.…
  3. Team Yuvan at SemEval-2026 Task 13: Task-Adaptive Ensemble Strategies for AI-Generated Code Detection (2026)
    This system paper tackles SemEval-2026 Task 13, which asks whether a code snippet is machine-written and, if so, which model produced it.

 Co-authors here

11 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 7 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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