---
title: "Changran Hu — author profile and papers — Elamur Research"
description: "Changran Hu, xAI: 3 papers on Elamur Research (2023–2025), h-index 4 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/changran-hu/"
---
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# Changran Hu

Changran Hu has 3 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Fenglu Hong](https://md.research.elamur.ai/free/en/authors/fenglu-hong/), [Urmish Thakker](https://md.research.elamur.ai/free/en/authors/urmish-thakker/), [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/).

3 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5056709204) · [**h-index 4**](https://openalex.org/authors/A5056709204) · [13 works](https://openalex.org/works?filter=author.id:A5056709204) · [131 citations](https://openalex.org/works?filter=author.id:A5056709204&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/changran-hu/#papers) · [🔗 Cited 129 times in our library](https://md.research.elamur.ai/free/en/authors/changran-hu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7592](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7592)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Changran+Hu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Changran+Hu) · [dblp](https://dblp.org/search?q=Changran+Hu) · [ACL Anthology](https://aclanthology.org/search/?q=Changran+Hu)

## Affiliations

[🏢**xAI** San Francisco 2026 · 1 paper*current*](https://ror.org/05febkk55) · [🎓**Tsinghua University** Beijing · China 2018–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of California, Berkeley** Berkeley · United States 2021–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/)

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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/changran-hu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/changran-hu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/changran-hu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[On the Tool Manipulation Capability of Open-source Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2023-tool-manipulation-capability-open-source/)** *(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](https://md.research.elamur.ai/free/en/papers/zhang-2025-agentic-context-engineering-evolving-contexts/)** *(2025 · 39 citations)* LLM systems such as agents and domain-specific reasoners often improve by changing their input context rather than their weights.
3. **[SubgoalXL: Subgoal-based Expert Learning for Theorem Proving](https://md.research.elamur.ai/free/en/papers/zhao-2024-subgoalxl-subgoal-based-expert-learning/)** *(2024 · 10 citations)* SubgoalXL targets two obstacles for LLM-based formal theorem proving in Isabelle: proof data in this domain is scarce, and models struggle with long multi-step reasoning.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**On the Tool Manipulation Capability of Open-source Large Language Models arXiv:2305.16504**Qiantong Xu, Fenglu Hong, Bo Li, et al.*2023 · 92 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-tool-manipulation-capability-open-source/)
2. [**Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models arXiv:2510.04618**Qizheng Zhang, Changran Hu, Shubhangi Upasani, et al.*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-agentic-context-engineering-evolving-contexts/)
3. [**SubgoalXL: Subgoal-based Expert Learning for Theorem Proving arXiv:2408.11172**Xueliang Zhao, Lin Zheng, Haige Bo, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2024-subgoalxl-subgoal-based-expert-learning/)
4. **[Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills ↗](https://doi.org/10.4230/lipics.esem.2026.62) arXiv (Cornell University) · no summary yet**Jiang, Pengcheng et al.*2025 · 3 citations*

## Co-authors here

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

- [Fenglu Hong](https://md.research.elamur.ai/free/en/authors/fenglu-hong/) ×2
- [Urmish Thakker](https://md.research.elamur.ai/free/en/authors/urmish-thakker/) ×2
- [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/)
- [Chen Wu](https://md.research.elamur.ai/free/en/authors/chen-wu/)
- [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/)
- [Jian Zhang](https://md.research.elamur.ai/free/en/authors/jian-zhang/)
- [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/)
- [Qiantong Xu](https://md.research.elamur.ai/free/en/authors/qiantong-xu/)
- [Xueliang Zhao](https://md.research.elamur.ai/free/en/authors/xueliang-zhao/)
- [Zhengyu Chen](https://md.research.elamur.ai/free/en/authors/zhengyu-chen/)

## Cited by

Papers of our library cite their works 129 times (of the 149,439 papers whose bibliographies we read); [50 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/changran-hu/cited-by/).

Updated 3 November 2026
