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Shuo Shang

Shuo Shang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Aixin Sun, Kang Liu, Ke Shi.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 42 · 198 works · 5,866 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11867

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

🎓University of Electronic Science and Technology of ChinaChengdu · China2019–2026 · 151 paperscurrent🎓China University of Petroleum, BeijingBeijing · China2013–2017 · 26 papers🎓King Abdullah University of Science and TechnologyJeddah · Saudi Arabia2017–2021 · 25 papers🔬Inception Institute of Artificial IntelligenceAbu Dhabi · United Arab Emirates2019–2020 · 9 papers🎓Aalborg UniversityAalborg · Denmark2013–2022 · 8 papers🎓The University of QueenslandBrisbane · Australia2010–2012 · 6 papers🎓Renmin University of ChinaBeijing · China2014–2020 · 3 papers

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

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs (2026 · 5 citations)
    LLMs are stateless by nature, yet in long multi-agent conversations they tend to settle into a stable persona.
  2. DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents (2026)
    Most LLM agents follow the ReAct loop: they take one action, observe one result, and proceed step by step.

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. Preference-Aware Task Assignment in Spatial Crowdsourcing ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYan Li Zhao et al.2019 · 63 citations
  2. If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Siqi Fan, Xiusheng Huang, Yiqun Yao, et al.2026 · 5 citations
  3. DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)JunShuo Zhang, Chengrui Huang, Feng Guo, et al.2026

 Co-authors here

6 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 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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