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Tianle Gu

Tianle Gu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Yujiu Yang, Zongqi Wang, Chen Gong.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 4 · 15 works · 38 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #9642

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

🏢China National Petroleum CorporationBeijing · China2025 · 4 paperscurrent🎓Tsinghua UniversityBeijing · China2025 · 2 paperscurrent🎓Chinese University of Hong Kong, ShenzhenShenzhen · China2025 · 1 papercurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2025 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workHardware and Architecture · 1 workArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MorphMark: Flexible Adaptive Watermarking for Large Language Models (2025 · 12 citations)
    LLM watermarks based on red-green vocabulary splits, such as KGW, face a tension. A stronger probability boost for green tokens makes the watermark easier to detect and harder to remove, but it also distorts the output and lowers text quality. The authors model this as a multi-objective function. Text quality is…
  2. SCAN: Structured Capability Assessment and Navigation for LLMs (2026 · 1 citation)
    Most automatic LLM benchmarks try to reproduce leaderboard orderings such as Chatbot Arena. They reveal little about where a particular model is strong or weak. SCAN (Structured Capability Assessment and Navigation) treats evaluation as a way to understand a model rather than to rank it.

 Co-authors here

5 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 9 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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