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Feng Zhang

Feng Zhang has 2 papers in our library, in 2026; often with Dongnan Liu, Jie Liu, Jinjian Zhang.

2 papers in our library · 2026

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

📄 2 works in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11983

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 · China2026 · 2 paperscurrent🎓City University of Hong KongHong Kong · China2026 · 2 paperscurrent🎓Zhejiang UniversityHangzhou · China2026 · 2 paperscurrent🎓Peking 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs (2026)
    LLMs often produce plans that look plausible but break the conditions stated in a request, such as a budget, a travel mode, or a dietary preference.
  2. STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training (2026)
    Agents built on LLMs and trained with reinforcement learning for long-horizon tasks get sparse, delayed rewards.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
  2. STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Qiuyi Qi, Tian Liang, Mutian Bao, et al.2026
  3. ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-training ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYifan Yang et al.2026
  4. IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) · no summary yetHongwei Zheng et al.2026

 Co-authors here

10 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.

Updated

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