Chen, Wenhu

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Yue, X., Ni, Y., Zheng, T., Zhang, K., Liu, R., Zhang, G., Stevens, S., Jiang, D., Ren, W., Sun, Y., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 429

FinQA: A Dataset of Numerical Reasoning over Financial Data

Chen, Z., Chen, W., Smiley, C., Shah, S., Borova, I., Langdon, D., Moussa, R., Beane, M., Huang, T.-H., Routledge, B., et al. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 258

TabFact: A Large-scale Dataset for Table-based Fact Verification

Chen, W., Wang, H., Chen, J., Zhang, Y., Wang, H., Li, S., Zhou, X., & Wang, W. Y. (2019) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 239

On the Risk of Misinformation Pollution with Large Language Models

Pan, Y., Pan, L., Chen, W., Nakov, P., Kan, M.-Y., & Wang, W. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Misinformation and Its ImpactsAdversarial Robustness in Machine Learning

Cited by 210

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., et al. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 131

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 131

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Chen, W., Ma, X., Wang, X., & Cohen, W. W. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 125

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation

Ku, M., Jiang, D., Wei, C., Yue, X., & Chen, W. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 56

Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Chen, W., Hu, H., Saharia, C., & Cohen, W. W. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 55

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

Pan, X., Qin, P., Li, Y., Xue, H., & Chen, W. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 47

A Dataset for Answering Time-Sensitive Questions

Chen, W., Wang, X., & Wang, W. Y. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 40

Long-context LLMs Struggle with Long In-context Learning

Li, T., Zhang, G., Do, Q. D., Yue, X., & Chen, W. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 31

MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response

Deng, Z., Ma, Y., Liu, Y., Guo, R., Zhang, G., Chen, W., Huang, W., & Benetos, E. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Music and Audio ProcessingMultimodal Machine Learning Applications

Cited by 15

MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response

Deng, Z., Ma, Y., Liu, Y., Guo, R., Zhang, G., Chen, W., Huang, W., & Benetos, E. (2023) · arXiv

Music and Audio ProcessingMultimodal Machine Learning Applications

Cited by 15

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

Amayuelas, A., Wong, K., Pan, L., Chen, W., & Wang, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Attacking Open-domain Question Answering by Injecting Misinformation

Pan, L., Chen, W., Kan, M.-Y., & Wang, W. Y. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 9

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Yue, X., Zheng, T., Ni, Y., Wang, Y., Zhang, K., Tong, S., Sun, Y., Yu, B., Zhang, G., Sun, H., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation

Ren, W., Yang, H., Zhang, G., Wei, C., Du, X., Huang, W., & Chen, W. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 4

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

Chen, Z., Ma, X., Zhuang, S., Nie, P., Zou, K., Liu, A., Green, J., Patel, K., Meng, R., Su, M., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 3

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Guo, J., Li, Z., Liu, X., Ma, K., Zheng, T., Yu, Z., Pan, D., LI, Y., Liu, R., Wang, Y., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 1

Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate

Wang, Y., Yue, X., & Chen, W. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0