Elamur Research⌕
☰
home / authors / Weihua Du

Weihua Du

Weihua Du has 2 papers in our library, in 2023–2026; often with Chuang Gan, Hongxin Zhang, Jiecao Chen.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 4 · 37 works · 90 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 72 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #8038

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

🎓Carnegie Mellon UniversityPittsburgh · United States2024–2026 · 5 papersEducation since 2024 · Ph.D., Language Technology Institutecurrent🎓Guangdong University of Foreign StudiesGuangzhou · China2018–2021 · 6 papers🎓Shanghai University of Finance and EconomicsShanghai · China2011 · 5 papers🎓Tsinghua UniversityBeijing · China2020–2024 · 3 papersEducation since 2020 · Undergraduate, IIIS🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2023–2024 · 2 papers🏢State Grid Corporation of ChinaBeijing · China2022–2024 · 2 papers🏢State Grid Hebei Electric Power CompanyShijiazhuang2022–2024 · 2 papers🎓South China Normal UniversityGuangzhou · China2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Building Cooperative Embodied Agents Modularly with Large Language Models (2023 · 95 citations)
    The paper studies teamwork between embodied agents that each act alone, see only partial raw sensory input, pay a time cost for every message, and share long-horizon household tasks with several sub-goals.
  2. Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression (2026)
    Training LLM agents with reinforcement learning on long multi-turn tool-use tasks is limited by context growth.

All works

5 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. Building Cooperative Embodied Agents Modularly with Large Language ModelsarXiv:2307.02485Hongxin Zhang, Weihua Du, Jiaming Shan, et al.2023 · 95 citations
  2. Training Proactive and Personalized LLM Agents ↗arXiv (Cornell University) · no summary yetWeiwei Sun et al.2025 · 10 citations
  3. Mind the Sim2Real Gap in User Simulation for Agentic Tasks ↗arXiv (Cornell University) · no summary yetXuhui Zhou et al.2026 · 6 citations
  4. Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Miao Lu, Weiwei Sun, Weihua Du, et al.2026
  5. Reinforcing Human Behavior Simulation via Verbal Feedback ↗arXiv (Cornell University) · no summary yetWeiwei Sun et al.2026

 Co-authors here

11 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 72 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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