---
title: "Yanbo Wang — author profile and papers — Elamur Research"
description: "Yanbo Wang, North University of China: 5 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/yanbo-wang/"
---
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# Yanbo Wang

Yanbo Wang has 5 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Chao Huang](https://md.research.elamur.ai/free/en/authors/chao-huang/), [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/), [Dong Yan](https://md.research.elamur.ai/free/en/authors/dong-yan/).

5 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5139738156) · [**h-index 0**](https://openalex.org/authors/A5139738156) · [4 works](https://openalex.org/works?filter=author.id:A5139738156) · [0 citations](https://openalex.org/works?filter=author.id:A5139738156&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yanbo-wang/#papers) · [🔗 Cited 144 times in our library](https://md.research.elamur.ai/free/en/authors/yanbo-wang/cited-by/) · [⭐ Paper Stars ranking: #6144](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6144)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**North University of China** Taiyuan · China 2026 · 1 paper*current*](https://ror.org/047bp1713)

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 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 7 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/)

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/yanbo-wang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yanbo-wang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge](https://md.research.elamur.ai/free/en/papers/ye-2024-justice-prejudice-quantifying-biases-llm/)** *(2024 · 148 citations)* LLMs are now routinely used to grade other models' outputs, both in benchmarks and as reward signals during training.
2. **[Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models](https://md.research.elamur.ai/free/en/papers/song-2026-audio-jailbreak-open-comprehensive-benchmark/)** *(2026 · 3 citations)* Large Audio-Language Models (LAMs) can be pushed into producing harmful content, yet their safety has rarely been measured systematically.
3. **[What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time](https://md.research.elamur.ai/free/en/papers/yan-2026-what-if-consensus-lies-selective/)** *(2026 · 2 citations)* Test-Time Reinforcement Learning (TTRL) lets LLMs improve their reasoning on unlabeled test questions by using the majority-voted answer among sampled rollouts as a pseudo-reward.
4. **[APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation](https://md.research.elamur.ai/free/en/papers/zhu-2026-appsi-139-parallel-corpus-english/)** *(2026)* App privacy policies are long and full of legal and technical jargon, so users often accept terms they do not understand.
5. **[Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-breaking-impasse-dual-scale-evolutionary/)** *(2026)* The paper looks at what goes wrong when self-play reinforcement learning with verifiable rewards (RLVR) moves from closed tasks like math or code to open-ended social language games.

## Co-authors here

12 of 22 co-authors with a page, the most papers together first.

- [Chao Huang](https://md.research.elamur.ai/free/en/authors/chao-huang/)
- [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/)
- [Dong Yan](https://md.research.elamur.ai/free/en/authors/dong-yan/)
- [Dongping Chen](https://md.research.elamur.ai/free/en/authors/dongping-chen/)
- [Kui Ren](https://md.research.elamur.ai/free/en/authors/kui-ren/)
- [Lang Gao](https://md.research.elamur.ai/free/en/authors/lang-gao/)
- [Lu Wang](https://md.research.elamur.ai/free/en/authors/lu-wang/)
- [Minzheng Wang](https://md.research.elamur.ai/free/en/authors/minzheng-wang/)
- [Nan Xu](https://md.research.elamur.ai/free/en/authors/nan-xu/)
- [Nitesh V Chawla](https://md.research.elamur.ai/free/en/authors/nitesh-v-chawla/)
- [Nuno Moniz](https://md.research.elamur.ai/free/en/authors/nuno-moniz/)
- [Pin-Yu Chen](https://md.research.elamur.ai/free/en/authors/pin-yu-chen/)

## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×4

## Cited by

Papers of our library cite their works 144 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yanbo-wang/cited-by/).

Updated 1 November 2026
