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Tianyu Guo

Tianyu Guo has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Code & programming languages, Semantic parsing & meaning representation; often with Bihui Yu, Hao Liang, Jingxuan Wei.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 0 · 5 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #9899

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

🎓Peking UniversityBeijing · China2025–2026 · 4 paperscurrent🎓Beijing Jiaotong UniversityBeijing · China2026 · 1 papercurrent

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).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksComputer Networks and Communications · 1 workControl and Systems Engineering · 1 workEngineering · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workCode & programming languages · 1 workSemantic parsing & meaning representation · 1 work

 Works by year

2020s

20262 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation (2023 · 10 citations)
    Progress in large language models has mostly come from adding parameters and data. The design of the Transformer block itself gets little attention, even though large models are costly to run. The authors study LLaMA-style decoders and identify feature collapse: a rank metric shows token representations growing more…
  2. Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration (2026)
    Most Text-to-SQL benchmarks test one-shot translation of a fixed question into a read-only query. Real database work is different: users refine goals over several turns and often need to change data, not just read it. The authors introduce DySQL-Bench to evaluate LLM agents in this setting. It contains 1,072…
  3. Training Verifier to Assessing Complex Real-World Tool-Use Trajectories (2026)
    LLM agents that handle multi-turn customer-service style tasks need training dialogues that reflect real user–agent collaboration.

 Co-authors here

12 of 19 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 10 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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