---
title: "Boxin Wang · Jilin University — author profile and papers"
description: "Boxin Wang, Jilin University: 4 papers on Elamur Research (2023–2026), h-index 32 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/boxin-wang/"
---
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# Boxin Wang

Boxin Wang has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Zihan Liu](https://md.research.elamur.ai/free/en/authors/zihan-liu/), [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/), [Chejian Xu](https://md.research.elamur.ai/free/en/authors/chejian-xu/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5041191241) · [ORCID](https://orcid.org/0000-0003-1084-4648) · [**h-index 32**](https://openalex.org/authors/A5041191241) · [152 works](https://openalex.org/works?filter=author.id:A5041191241) · [3,052 citations](https://openalex.org/works?filter=author.id:A5041191241&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/boxin-wang/#papers) · [🔗 Cited 316 times in our library](https://md.research.elamur.ai/free/en/authors/boxin-wang/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4802](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4802)

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

## Affiliations

[🎓**Jilin University** Changchun · China 2015–2026 · 64 papers*current*](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2020–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2019–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Physics** Beijing · China 2023–2026 · 4 papers*current*](https://ror.org/05cvf7v30) · [🤝**National Center for Nanoscience and Technology** Beijing · China 2018–2024 · 32 papers](https://ror.org/04f49ff35) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2019–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Northeast Electric Power University** Jilin · China 2023–2025 · 2 papers](https://ror.org/00zqaxa34) · [🎓**Hebei North University** Zhangjiakou · China 2023 · 2 papers](https://ror.org/03hqwnx39) · [🎓**Hebei University of Engineering** Handan · China 2023 · 2 papers](https://ror.org/036h65h05) · [🎓**University of Wisconsin System** Madison · United States 2023 · 2 papers](https://ror.org/03ydkyb10)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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 8 The field of science this work belongs to (OpenAlex fields).[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/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 4 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/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/boxin-wang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/boxin-wang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/boxin-wang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models](https://md.research.elamur.ai/free/en/papers/wang-2023-decodingtrust-comprehensive-assessment-trustworthiness-gpt/)** *(2023 · 259 citations)* Practitioners increasingly propose GPT models for high-stakes domains such as healthcare and finance, yet little systematic evidence exists on how reliable these models are.
2. **[NVLM: Open Frontier-Class Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/dai-2024-nvlm-open-frontier-class-multimodal/)** *(2024 · 44 citations)* Open multimodal LLMs usually trail proprietary systems such as GPT-4o. Their architectures are rarely compared under equal conditions, and they typically lose text-only skill after vision-language training. NVIDIA's NVLM 1.0 addresses all three issues with three variants trained on one shared, carefully curated data…
3. **[Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation](https://md.research.elamur.ai/free/en/papers/yang-2026-nemotron-cascade-2-post-training/)** *(2026 · 16 citations)* Post-training a single LLM across many reasoning and agentic domains is hard. Mixing diverse RL environments can destabilize training, and gains in one area often erode others. Nemotron-Cascade 2 extends NVIDIA's earlier Cascade RL approach, which trains domain by domain in sequence, to address this. The base model…
4. **[From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-128k-4m-efficient-training-ultra/)** *(2026 · 5 citations)* Open LLMs struggle to reason over very long inputs. Existing context-extension efforts often lack transparent data recipes, require expensive training, or lose quality on ordinary short tasks. The authors present a two-stage recipe that takes Llama-3.1-8B-Instruct from its native 128K window to 1M, 2M, and 4M tokens.

## All works

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

1. **[DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models](https://md.research.elamur.ai/free/en/papers/wang-2023-decodingtrust-comprehensive-assessment-trustworthiness-gpt/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Boxin Wang, Weixin Chen, Hengzhi Pei, et al.*2023 · 259 citations*
2. **[Efficient task-specific data valuation for nearest neighbor algorithms ↗](https://doi.org/10.14778/3342263.3342637) Proceedings of the VLDB Endowment · no summary yet**Ruoxi Jia et al.*2019 · 176 citations*
3. **[Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States ↗](https://doi.org/10.1609/aaai.v34i01.5462) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yunan Ye et al.*2020 · 169 citations*
4. **[Realization of 2D metals at the ångström thickness limit ↗](https://doi.org/10.1038/s41586-025-08711-x) Nature · no summary yet**Jiaojiao Zhao et al.*2025 · 97 citations*
5. **[T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack ↗](https://aclanthology.org/2020.emnlp-main.495/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Boxin Wang et al.*2020 · 82 citations*
6. [**NVLM: Open Frontier-Class Multimodal LLMs arXiv:2409.11402**Wenliang Dai, Nayeon Lee, Boxin Wang, et al.*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/dai-2024-nvlm-open-frontier-class-multimodal/)
7. [**Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation arXiv:2603.19220**Zhuolin Yang, Zihan Liu, Yang Chen, et al.*2026 · 16 citations*](https://md.research.elamur.ai/free/en/papers/yang-2026-nemotron-cascade-2-post-training/)
8. **[From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-128k-4m-efficient-training-ultra/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chejian Xu, Wei Ping, Peng Xu, et al.*2026 · 5 citations*

## Co-authors here

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

- [Zihan Liu](https://md.research.elamur.ai/free/en/authors/zihan-liu/) ×3
- [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/) ×2
- [Chejian Xu](https://md.research.elamur.ai/free/en/authors/chejian-xu/) ×2
- [Mohammad Shoeybi](https://md.research.elamur.ai/free/en/authors/mohammad-shoeybi/) ×2
- [Wei Ping](https://md.research.elamur.ai/free/en/authors/wei-ping/) ×2
- [Wenliang Dai](https://md.research.elamur.ai/free/en/authors/wenliang-dai/) ×2
- [Zhuolin Yang](https://md.research.elamur.ai/free/en/authors/zhuolin-yang/) ×2
- [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/)
- [Chankyu Lee](https://md.research.elamur.ai/free/en/authors/chankyu-lee/)
- [Chenhui Zhang](https://md.research.elamur.ai/free/en/authors/chenhui-zhang/)
- [Chulin Xie](https://md.research.elamur.ai/free/en/authors/chulin-xie/)
- [Dongfu Jiang](https://md.research.elamur.ai/free/en/authors/dongfu-jiang/)

## Venues

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

- [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/)
- [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/)
- Nature
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Proceedings of the AAAI Conference on Artificial Intelligence
- Proceedings of the VLDB Endowment

## Cited by

Papers of our library cite their works 316 times (of the 149,439 papers whose bibliographies we read); [61 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/boxin-wang/cited-by/).

Updated 30 October 2026