Elamur Research⌕
☰
home / authors / Haotian Luo

Haotian Luo

Haotian Luo has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Di Sun, Eric P. Xing, Fan Bai.

2 papers in our library · 2023–2026

OpenAlex · h-index 3 · 15 works · 35 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 97 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7890

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

🎓Sun Yat-sen UniversityGuangzhou · China2026 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2023–2024 · 4 papers🔬Shanghai Advanced Research InstitutePudong · China2023–2024 · 4 papers🎓University of Chinese Academy of SciencesBeijing · China2023–2024 · 4 papers🎓Sichuan UniversityChengdu · China2023–2024 · 2 papers

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

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

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization (2023 · 102 citations)
    Carefully engineered prompts, the kind written by specialists who understand both the model and the task domain, can greatly improve LLM performance.
  2. D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents (2026)
    Mobile GUI agents that run apps by imitating user taps and swipes face three problems. Trajectory-based training is limited by narrow data. Errors are usually caught only after a bad action has already derailed the task. Generic tip collections can give conflicting advice across apps. D-Artemis addresses these with a…

All works

3 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. PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt OptimizationarXiv:2310.16427Xinyuan Wang, Chenxi Li, Zhen Wang, et al.2023 · 102 citations
  2. Vector-Quantized Prompt Learning for Paraphrase Generation ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetHaotian Luo et al.2023 · 5 citations
  3. D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-AgentsFindings of the Association for Computational LinguisticsHongze Mi, Yibo Feng, WenJie Lu, et al.2026

 Co-authors here

7 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 97 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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