---
title: "Tianhao Wu — author profile and papers — Elamur Research"
description: "Tianhao Wu, University of California, Berkeley: 4 papers on Elamur Research (2024–2026), h-index 3 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/tianhao-wu/"
---
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# Tianhao Wu

Tianhao Wu has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/), [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/), [Wei-Lin Chiang](https://md.research.elamur.ai/free/en/authors/wei-lin-chiang/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5101389061) · [**h-index 3**](https://openalex.org/authors/A5101389061) · [3 works](https://openalex.org/works?filter=author.id:A5101389061) · [22 citations](https://openalex.org/works?filter=author.id:A5101389061&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/tianhao-wu/#papers) · [🔗 Cited 358 times in our library](https://md.research.elamur.ai/free/en/authors/tianhao-wu/cited-by/) · [⭐ Paper Stars ranking: #4965](https://md.research.elamur.ai/free/en/paper-stars/page/50/#star-4965)

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

## Affiliations

[🎓**University of California, Berkeley** Berkeley · United States 2024 · 1 paper*current*](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.

## 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 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/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/tianhao-wu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/tianhao-wu/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/tianhao-wu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline](https://md.research.elamur.ai/free/en/papers/li-2024-crowdsourced-data-high-quality-benchmarks/)** *(2024 · 210 citations)* Static LLM benchmarks saturate quickly, can leak into training data, and mostly test close-ended tasks. Expert-built sets are expensive: GPQA's 500 questions reportedly cost over $120,000. Live human evaluation such as Chatbot Arena is too slow for developers to use routinely. The authors present BenchBuilder, an…
2. **[RouteLLM: Learning to Route LLMs with Preference Data](https://md.research.elamur.ai/free/en/papers/ong-2024-routellm-learning-route-llms-preference/)** *(2024 · 109 citations)* Deploying LLMs forces a trade-off: frontier models such as GPT-4 give the best answers but are costly, while cheaper models like Mixtral-8x7B struggle with harder requests.
3. **[Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge](https://md.research.elamur.ai/free/en/papers/wu-2025-meta-rewarding-language-models-self/)** *(2025 · 64 citations)* Self-Rewarding training lets an LLM improve without human labels by scoring its own outputs. However, it trains only the model's answering skill. Its evaluation skill stays fixed, so gains plateau after a few iterations and the model risks reward hacking. The authors add a third role, a meta-judge, alongside the…
4. **[TopoRAG: Graph-based RAG via Topology-aware Approximate Nearest Neighbor Search](https://md.research.elamur.ai/free/en/papers/wu-2026-toporag-graph-based-rag-topology/)** *(2026)* Graph-based RAG systems like GraphRAG and LightRAG usually find evidence in two steps. A plain vector ANN lookup first picks the top-k entities. Their graph neighbours are then added by heuristic expansion. Because the graph is ignored in the first step, the expansion tends to pull in weakly related entities and…

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/) ×2
- [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/) ×2
- [Wei-Lin Chiang](https://md.research.elamur.ai/free/en/authors/wei-lin-chiang/) ×2
- [Amjad Almahairi](https://md.research.elamur.ai/free/en/authors/amjad-almahairi/)
- [Banghua Zhu](https://md.research.elamur.ai/free/en/authors/banghua-zhu/)
- [Isaac Ong](https://md.research.elamur.ai/free/en/authors/isaac-ong/)
- [Jason Weston](https://md.research.elamur.ai/free/en/authors/jason-weston/)
- [Jing Xu](https://md.research.elamur.ai/free/en/authors/jing-xu/)
- [Olga Golovneva](https://md.research.elamur.ai/free/en/authors/olga-golovneva/)
- [Sainbayar Sukhbaatar](https://md.research.elamur.ai/free/en/authors/sainbayar-sukhbaatar/)
- [Tianle Li](https://md.research.elamur.ai/free/en/authors/tianle-li/)
- [Weizhe Yuan](https://md.research.elamur.ai/free/en/authors/weizhe-yuan/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 358 times (of the 149,439 papers whose bibliographies we read); [127 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tianhao-wu/cited-by/).

Updated 2 November 2026
