---
title: "Wenhu Chen — papers"
description: "Wenhu Chen: 11 papers in the Elamur Research library (2019–2024) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/wenhu-chen/"
---
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# Wenhu Chen

11 papers on this site (2019–2024)

[OpenAlex](https://openalex.org/A5103103242) · [ORCID](https://orcid.org/0000-0002-8609-7821) · h-index 35 · 166 works · 5380 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Long-context LLMs Struggle with Long In-context Learning](https://md.research.elamur.ai/free/en/papers/li-2024-long-context-llms-struggle-long/) — Tianle Li, Ge Zhang, Quy Duc Do, et al. · 2024
- [MAmmoTH2: Scaling Instructions from the Web](https://md.research.elamur.ai/free/en/papers/yue-2024-mammoth2-scaling-instructions-web/) — Xiang Yue, Tuney Zheng, Ge Zhang, et al. · 2024
- [MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response](https://md.research.elamur.ai/free/en/papers/deng-2024-musilingo-bridging-music-text-pre/) — Zihao Deng, Yinghao Ma, Yudong Liu, et al. · 2024
- [Large Language Models are few(1)-shot Table Reasoners](https://md.research.elamur.ai/free/en/papers/chen-2023-large-language-models-are-few/) — Wenhu Chen · 2023
- [MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/) — Xiang Yue, Xingwei Qu, Ge Zhang, et al. · 2023
- [On the Risk of Misinformation Pollution with Large Language Models](https://md.research.elamur.ai/free/en/papers/pan-2023-risk-misinformation-pollution-large-language/) — Yikang Pan, Liangming Pan, Wenhu Chen, et al. · 2023
- [TheoremQA: A Theorem-driven Question Answering Dataset](https://md.research.elamur.ai/free/en/papers/chen-2023-theoremqa-theorem-driven-question-answering/) — Wenhu Chen, Ming Yin, Max Ku, et al. · 2023
- [FinQA: A Dataset of Numerical Reasoning over Financial Data](https://md.research.elamur.ai/free/en/papers/chen-2021-finqa-dataset-numerical-reasoning-over/) — Zhiyu Chen, Wenhu Chen, Charese Smiley, et al. · 2021
- [HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data](https://md.research.elamur.ai/free/en/papers/chen-2020-hybridqa-dataset-multi-hop-question/) — Wenhu Chen, Hanwen Zha, Zhiyu Chen, et al. · 2020
- [Logical Natural Language Generation from Open-Domain Tables](https://md.research.elamur.ai/free/en/papers/chen-2020-logical-natural-language-generation-open/) — Wenhu Chen, Jianshu Chen, Yu Su, et al. · 2020
- [TabFact: A Large-scale Dataset for Table-based Fact Verification](https://md.research.elamur.ai/free/en/papers/chen-2019-tabfact-large-scale-dataset-table/) — Wenhu Chen, Hongmin Wang, Jianshu Chen, et al. · 2019