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Fenglu Hong

Fenglu Hong has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Changran Hu, Bo Li, Chen Wu.

3 papers in our library · 2023–2026

OpenAlex · h-index 1 · 3 works · 10 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 127 times in our library · ⭐ Paper Stars ranking: #7615

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

🎓Stanford UniversityStanford · United States2026 · 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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. On the Tool Manipulation Capability of Open-source Large Language Models (2023 · 92 citations)
    Most work on LLM-driven tool use relies on proprietary APIs. That is a problem for companies that cannot send internal workflows and data to external services. The authors ask whether open-source LLMs can match closed models at turning natural-language goals into executable API calls without heavy human effort.
  2. Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models (2025 · 39 citations)
    LLM systems such as agents and domain-specific reasoners often improve by changing their input context rather than their weights.
  3. CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery (2026 · 9 citations)
    LLM-driven evolutionary systems such as FunSearch and AlphaEvolve search for better programs on problems where the optimum is unknown.

 Co-authors here

10 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 127 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

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