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Yantao Liu

Yantao Liu has 4 papers in our library, in 2024–2026, most of them on Language models & pretraining, Information extraction, Reasoning; often with Tianyi Tang, Yuxin Zuo, Yuxuan Liu.

4 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 5 · 41 works · 110 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 93 times in our library · ⭐ Paper Stars ranking: #6500

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

🎓Jiaying UniversityMeizhou · China2021–2025 · 8 paperscurrent🎓Fudan UniversityShanghai · China2024–2025 · 2 paperscurrent🎓Bohai UniversityJinzhou · China2010–2018 · 10 papers🏛️Chinese Academy of SciencesBeijing · China2023–2024 · 4 papers🔬Institute of Computing TechnologyBeijing · China2023–2024 · 4 papers🎓Beijing Institute of TechnologyBeijing · China2008–2009 · 4 papers🎓University of Chinese Academy of SciencesBeijing · China2023–2024 · 2 papers🎓Shandong Institute of Commerce & TechnologyJinan · China2022 · 2 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksComputer Science · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Information extraction · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction (2024 · 68 citations)
    Universal Information Extraction (UIE) uses one model to pull entities, relations and events under many different schemas.
  2. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style (2024 · 53 citations)
    Reward models steer RLHF training and choose the best candidate output in inference-time scaling, yet existing benchmarks usually pit a strong model's answer against a weaker model's answer.
  3. Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models (2026 · 3 citations)
    Generative reward models (GenRMs) and LLM-as-a-Judge systems are usually trained and evaluated only on whether they pick the preferred response.
  4. Qwen-AgentWorld: Language World Models for General Agents (2026)
    LLM agent research has mostly focused on the policy, which picks actions from states. The complementary piece is a world model that predicts the next state from a state and an action, and agents working in text-based environments still lack a general one. The Qwen Team builds such a model, Qwen-AgentWorld. It…

 Co-authors here

12 of 31 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 93 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated

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