---
title: "Yuhao Wang — author profile and papers — Elamur Research"
description: "Yuhao Wang, Jiangsu University of Science and Technology: 4 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/yuhao-wang/"
---
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# Yuhao Wang

Yuhao Wang has 4 papers in our library, in 2024–2026, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Jing Liu](https://md.research.elamur.ai/free/en/authors/jing-liu/), [Ruiyang Ren](https://md.research.elamur.ai/free/en/authors/ruiyang-ren/), [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5001925103) · [**h-index 2**](https://openalex.org/authors/A5001925103) · [5 works](https://openalex.org/works?filter=author.id:A5001925103) · [47 citations](https://openalex.org/works?filter=author.id:A5001925103&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yuhao-wang/#papers) · [🔗 Cited 115 times in our library](https://md.research.elamur.ai/free/en/authors/yuhao-wang/cited-by/) · [⭐ Paper Stars ranking: #6091](https://md.research.elamur.ai/free/en/paper-stars/page/61/#star-6091)

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

## Affiliations

[🎓**Jiangsu University of Science and Technology** Zhenjiang · China *current*](https://ror.org/00tyjp878)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions 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).[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/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 4 Research subjects and languages the work is about.[Information retrieval & search · 3 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation](https://md.research.elamur.ai/free/en/papers/ren-2025-investigating-factual-knowledge-boundary-large/)** *(2025 · 101 citations)* This COLING 2025 study asks whether large language models know where their factual knowledge ends, and how retrieval augmentation changes that self-awareness in open-domain QA.
2. **[REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2024-rear-relevance-aware-retrieval-augmented/)** *(2024 · 55 citations)* Retrieval-augmented generation (RAG) helps large language models answer open-domain questions. However, the retrieved passages often include irrelevant material that can lead the model to wrong answers. Earlier robustness methods such as Self-RAG and RobustLM judge relevance only with binary labels, which gives…
3. **[Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-reinforced-informativeness-optimization-long-form/)** *(2026 · 2 citations)* Reinforcement learning has improved LLMs on math and short-answer QA, where outputs can be checked against a single correct target.
4. **[When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-when-seeing-is-not-enough/)** *(2026)* Most MLLM benchmarks give the model every clue up front and ask for a single answer. This paper asks whether models can instead seek out missing evidence on their own. The authors frame this as a guessing game. A model sees a pool of candidate images, gets no hints about which one is the target, and must ask yes/no…

## Co-authors here

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

- [Jing Liu](https://md.research.elamur.ai/free/en/authors/jing-liu/) ×3
- [Ruiyang Ren](https://md.research.elamur.ai/free/en/authors/ruiyang-ren/) ×3
- [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/) ×2
- [Hua Ren Wu](https://md.research.elamur.ai/free/en/authors/hua-ren-wu/) ×2
- [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) ×2
- [Wayne Xin Zhao](https://md.research.elamur.ai/free/en/authors/wayne-xin-zhao/) ×2
- [Junyi Li](https://md.research.elamur.ai/free/en/authors/junyi-li/)
- [Xin Zhao](https://md.research.elamur.ai/free/en/authors/xin-zhao/)
- [Yanfeng Wang](https://md.research.elamur.ai/free/en/authors/yanfeng-wang/)
- [Yingqi Qu](https://md.research.elamur.ai/free/en/authors/yingqi-qu/)
- [Yu Wang](https://md.research.elamur.ai/free/en/authors/yu-wang/)
- [Yucheng Wang](https://md.research.elamur.ai/free/en/authors/yucheng-wang/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)

## Cited by

Papers of our library cite their works 115 times (of the 149,439 papers whose bibliographies we read); [32 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuhao-wang/cited-by/).

Updated 1 November 2026
