---
title: "Shibo Hao — author profile and papers — Elamur Research"
description: "Shibo Hao, University of California San Diego: 2 papers on Elamur Research (2023–2026), h-index 3 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/shibo-hao/"
---
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# Shibo Hao

Shibo Hao has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Tianyang Liu](https://md.research.elamur.ai/free/en/authors/tianyang-liu/), [Zhen Wang](https://md.research.elamur.ai/free/en/authors/zhen-wang/), [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5081122144) · [**h-index 3**](https://openalex.org/authors/A5081122144) · [11 works](https://openalex.org/works?filter=author.id:A5081122144) · [76 citations](https://openalex.org/works?filter=author.id:A5081122144&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shibo-hao/#papers) · [🔗 Cited 116 times in our library](https://md.research.elamur.ai/free/en/authors/shibo-hao/cited-by/) · [⭐ Paper Stars ranking: #7142](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7142)

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=Shibo+Hao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shibo+Hao) · [dblp](https://dblp.org/search?q=Shibo+Hao) · [ACL Anthology](https://aclanthology.org/search/?q=Shibo+Hao)

## Affiliations

[🎓**University of California San Diego** San Diego · United States 2023–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/)

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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

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

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/shibo-hao/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/shibo-hao/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings](https://md.research.elamur.ai/free/en/papers/hao-2023-toolkengpt-augmenting-frozen-language-models/)** *(2023 · 147 citations)* Equipping large language models with external tools usually means choosing between two flawed options. Full fine-tuning is expensive and fixes the tool set in advance. In-context prompting hits context-window limits, so it can show only a few tools and examples. ToolkenGPT keeps the LLM frozen and gives each tool its…
2. **[Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models](https://md.research.elamur.ai/free/en/papers/yin-2026-decentralized-arena-democratic-scalable-automatic/)** *(2026 · 1 citation)* Ranking the fast-growing population of LLMs is hard. Fixed-answer benchmarks such as MMLU saturate. Human-voted leaderboards like Chatbot Arena are slow and expensive. Using one strong model (e.g., GPT-4) as judge introduces that model's own biases. The authors propose Decentralized Arena (De-Arena), where every…

## Co-authors here

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

- [Tianyang Liu](https://md.research.elamur.ai/free/en/authors/tianyang-liu/) ×2
- [Zhen Wang](https://md.research.elamur.ai/free/en/authors/zhen-wang/) ×2
- [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/)
- [Kun Zhou](https://md.research.elamur.ai/free/en/authors/kun-zhou/)
- [Somanshu Singla](https://md.research.elamur.ai/free/en/authors/somanshu-singla/)
- [Yi Gu](https://md.research.elamur.ai/free/en/authors/yi-gu/)
- [Zhengzhong Liu](https://md.research.elamur.ai/free/en/authors/zhengzhong-liu/)
- [Zhiting Hu](https://md.research.elamur.ai/free/en/authors/zhiting-hu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

## Cited by

Papers of our library cite their works 116 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shibo-hao/cited-by/).

Updated 2 November 2026
