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Tianyang Liu

Tianyang Liu has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Code & programming languages; often with Shibo Hao, Zhen Wang, Eric P. Xing.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 3 · 9 works · 33 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 131 times in our library · ⭐ Paper Stars ranking: #5993

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

🎓Shandong Agricultural UniversityTai’an · China2001–2026 · 4 paperscurrent🎓University of California San DiegoSan Diego · United States2025–2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 3 worksCode & programming languages · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings (2023 · 147 citations)
    Equipping large language models with external tools usually means choosing between two flawed options. Full fine-tuning is expensive and fixes the tool set in advance. In-context prompting hits context-window limits, so it can show only a few tools and examples. ToolkenGPT keeps the LLM frozen and gives each tool its…
  2. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs (2025 · 19 citations)
    This EMNLP 2025 survey, by authors from Meta AI, UC San Diego and the University of Rochester, examines the two-way relationship between programming ability and reasoning in large language models. It introduces no new dataset or model. Instead, it organizes existing work into a taxonomy with two branches.
  3. Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models (2026 · 1 citation)
    Ranking the fast-growing population of LLMs is hard. Fixed-answer benchmarks such as MMLU saturate. Human-voted leaderboards like Chatbot Arena are slow and expensive. Using one strong model (e.g., GPT-4) as judge introduces that model's own biases. The authors propose Decentralized Arena (De-Arena), where every…

 Co-authors here

9 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 131 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated

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