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Lei Liang

Lei Liang has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Question answering, Knowledge graphs & ontologies; often with Huajun Chen, Wen Zhang, Zhaoyan Gong.

3 papers in our library · 2025–2026

OpenAlex · h-index 1 · 13 works · 1 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 12 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9271

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

🏢Ant GroupHangzhou · China2025–2026 · 14 paperscurrent🎓Zhejiang UniversityHangzhou · China2026 · 6 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workKnowledge graphs & ontologies · 1 workQuestion answering · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models (2025 · 9 citations)
    Questions over temporal knowledge graphs (TKGs) often combine several time conditions, such as an implicit anchor event plus an ordering requirement like "last." Existing TKGQA systems, including LLM-based ones, tend to hallucinate on such questions.
  2. Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts (2026 · 4 citations)
    Long reasoning rollouts in LLM reinforcement learning store large KV caches. This memory cost limits batch sizes and GPU utilization, especially since rollout generation takes most of the training time. The authors ask whether training-free KV compression, built for inference, can be used during rollouts. They find…
  3. Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning (2026 · 4 citations)
    Temp-R1 addresses question answering over temporal knowledge graphs (TKGQA), where facts are timestamped quadruples and questions often combine multi-hop links with time constraints.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaoyan Gong, Juan Li, Zhiqiang Liu, et al.2025 · 9 citations
  2. Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse RolloutsAnnual Meeting of the Association for Computational Linguistics (ACL)Sijia Luo, Xiaokang Zhang, Yuxuan Hu, et al.2026 · 4 citations
  3. Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoyan Gong, Zhiqiang Liu, Songze Li, et al.2026 · 4 citations
  4. Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYichi Zhang et al.2026

 Co-authors here

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

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/lei-liang/