---
title: "Bang Liu — author profile and papers — Elamur Research"
description: "Bang Liu: 4 papers on Elamur Research (2024–2026), h-index 18 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/bang-liu/"
---
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# Bang Liu

Bang Liu has 4 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jiayi Zhang](https://md.research.elamur.ai/free/en/authors/jiayi-zhang/), [Jiaqi Chen](https://md.research.elamur.ai/free/en/authors/jiaqi-chen/), [Jinlin Wang](https://md.research.elamur.ai/free/en/authors/jinlin-wang/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5100691219) · [ORCID](https://orcid.org/0000-0002-2272-6852) · [**h-index 18**](https://openalex.org/authors/A5100691219) · [105 works](https://openalex.org/works?filter=author.id:A5100691219) · [1,159 citations](https://openalex.org/works?filter=author.id:A5100691219&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/bang-liu/#papers) · [🔗 Cited 167 times in our library](https://md.research.elamur.ai/free/en/authors/bang-liu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6619](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6619)

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

## Affiliations

[🎓**Université de Montréal** Montreal · Canada 2020–2026 · 97 papers](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2021–2026 · 48 papers](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**University of Alberta** Edmonton · Canada 2015–2021 · 16 papers](https://md.research.elamur.ai/free/en/universities/university-of-alberta/) · [🔬**Canadian Institute for Advanced Research** Toronto · Canada 2022–2025 · 13 papers](https://md.research.elamur.ai/free/en/labs/canadian-institute-for-advanced-research/) · [🎓**Centre Universitaire de Mila** Mila · Algeria 2021–2026 · 11 papers](https://ror.org/05s3cw058) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2012–2018 · 9 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Sun Yat-sen University** Guangzhou · China 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/)

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 10 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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[AFlow: Automating Agentic Workflow Generation](https://md.research.elamur.ai/free/en/papers/zhang-2024-aflow-automating-agentic-workflow/)** *(2024 · 95 citations)* Agentic workflows for LLMs are structured chains of model calls with instructions, and building them usually takes a lot of manual engineering.
2. **[Data Interpreter: An LLM Agent for Data Science](https://md.research.elamur.ai/free/en/papers/hong-2025-data-interpreter-llm-agent-data/)** *(2025 · 91 citations)* Data science work, such as building ML pipelines, analysing tables or solving maths problems, rarely follows a simple chain of steps.
3. **[Concise Math Reasoning via Difficulty-Aware Distillation](https://md.research.elamur.ai/free/en/papers/wu-2026-concise-math-reasoning-difficulty-aware/)** *(2026)* Distilling reasoning from large models such as DeepSeek-R1 usually gives small students very long chain-of-thought traces.
4. **[Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science](https://md.research.elamur.ai/free/en/papers/wu-2026-seeing-beyond-words-matvqa-challenging/)** *(2026)* Existing materials-science QA benchmarks such as MaScQA and SciQA are mostly text-only. They do not test whether multimodal models can read experimental figures and reason about them at a research level. The authors present MatVQA, a benchmark of 1,672 multiple-choice questions built from recent arXiv materials…

## All works

6 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. [**AFlow: Automating Agentic Workflow Generation arXiv:2410.10762**Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.*2024 · 95 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-aflow-automating-agentic-workflow/)
2. **[Data Interpreter: An LLM Agent for Data Science](https://md.research.elamur.ai/free/en/papers/hong-2025-data-interpreter-llm-agent-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sirui Hong, Yizhang Lin, Bang Liu, et al.*2025 · 91 citations*
3. **[Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction ↗](https://aclanthology.org/2021.findings-acl.128/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Zhexue Chen et al.*2021 · 81 citations*
4. **[Matching Article Pairs with Graphical Decomposition and Convolutions ↗](https://aclanthology.org/P19-1632/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Bang Liu et al.*2019 · 59 citations*
5. **[Concise Math Reasoning via Difficulty-Aware Distillation](https://md.research.elamur.ai/free/en/papers/wu-2026-concise-math-reasoning-difficulty-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifan Wu, Jingze Shi, Bingheng Wu, et al.*2026*
6. **[Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science](https://md.research.elamur.ai/free/en/papers/wu-2026-seeing-beyond-words-matvqa-challenging/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sifan Wu, Huan Zhang, Yizhan Li, et al.*2026*

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Jiayi Zhang](https://md.research.elamur.ai/free/en/authors/jiayi-zhang/) ×3
- [Jiaqi Chen](https://md.research.elamur.ai/free/en/authors/jiaqi-chen/) ×2
- [Jinlin Wang](https://md.research.elamur.ai/free/en/authors/jinlin-wang/) ×2
- [Sirui Hong](https://md.research.elamur.ai/free/en/authors/sirui-hong/) ×2
- [Zhaoyang Yu](https://md.research.elamur.ai/free/en/authors/zhaoyang-yu/) ×2
- [Ceyao Zhang](https://md.research.elamur.ai/free/en/authors/ceyao-zhang/)
- [Hongyuan Mei](https://md.research.elamur.ai/free/en/authors/hongyuan-mei/)
- [Huan Zhang](https://md.research.elamur.ai/free/en/authors/huan-zhang/)
- [Li Zhang](https://md.research.elamur.ai/free/en/authors/li-zhang/)
- [Mingchen Zhuge](https://md.research.elamur.ai/free/en/authors/mingchen-zhuge/)
- [Xin Cheng](https://md.research.elamur.ai/free/en/authors/xin-cheng/)
- [Xionghui Chen](https://md.research.elamur.ai/free/en/authors/xionghui-chen/)

## 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/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2, [Findings of the Association for Computational Linguistics 2025](https://md.research.elamur.ai/free/en/venues/findings/2025/)
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

## Cited by

Papers of our library cite their works 167 times (of the 149,439 papers whose bibliographies we read); [47 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bang-liu/cited-by/).

Updated 2 November 2026
