Xiong, Caiming

Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Li, J., Li, D., Xiong, C., & Hoi, S. (2022) · arXiv

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 1,741

A Deep Reinforced Model for Abstractive Summarization

Paulus, R., Xiong, C., & Socher, R. (2017) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,182

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

Li, J., Selvaraju, R. R., Gotmare, A. D., Joty, S., Xiong, C., & Hoi, S. (2021) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,078

Large language models generate functional protein sequences across diverse families

Madani, A., Krause, B., Greene, E. R., Subramanian, S., Mohr, B. P., Holton, J. M., Olmos, J. L., Xiong, C., Sun, Z. Z., Socher, R., et al. (2023) · Nature Biotechnology

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 1,078

CTRL: A Conditional Transformer Language Model for Controllable Generation

Keskar, N. S., McCann, B., Varshney, L. R., Xiong, C., & Socher, R. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 751

Evaluating the Factual Consistency of Abstractive Text Summarization

Kryscinski, W., McCann, B., Xiong, C., & Socher, R. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 669

Prototypical Contrastive Learning of Unsupervised Representations

Li, J., Zhou, P., Xiong, C., & Hoi, S. C. H. (2020) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 611

End-to-End Dense Video Captioning with Masked Transformer

Zhou, L., Zhou, Y., Corso, J. J., Socher, R., & Xiong, C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 605

SummEval: Re-evaluating Summarization Evaluation

Fabbri, A. R., Kryściński, W., McCann, B., Xiong, C., Socher, R., & Radev, D. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 587

A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT

Zhou, C., Li, Q., Li, C., Yu, J., Liu, Y., Wang, G., Zhang, K., Ji, C., Yan, Q., He, L., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 574

Learned in Translation: Contextualized Word Vectors

McCann, B., Bradbury, J., Xiong, C., & Socher, R. (2017) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 572

ERASER: A Benchmark to Evaluate Rationalized NLP Models

DeYoung, J., Jain, S., Rajani, N. F., Lehman, E., Xiong, C., Socher, R., & Wallace, B. C. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 561

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

Hashimoto, K., xiong, C., Tsuruoka, Y., & Socher, R. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 535

The Natural Language Decathlon: Multitask Learning as Question Answering

McCann, B., Keskar, N. S., Xiong, C., & Socher, R. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 448

BERTology Meets Biology: Interpreting Attention in Protein Language Models

Vig, J., Madani, A., Varshney, L. R., Xiong, C., Socher, R., & Rajani, N. F. (2020) · bioRxiv (Cold Spring Harbor Laboratory)

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 338

Neural Text Summarization: A Critical Evaluation

Kryscinski, W., Keskar, N. S., McCann, B., Xiong, C., & Socher, R. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 335

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Nijkamp, E., Pang, B., Hayashi, H., Tu, L., Wang, H., Zhou, Y., Savarese, S., & Xiong, C. (2022) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 330

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Ma, C.-Y., Lu, J., Wu, Z., AlRegib, G., Kira, Z., Socher, R., & Xiong, C. (2019) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 200

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Asai, A., Hashimoto, K., Hajishirzi, H., Socher, R., & Xiong, C. (2019) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 152

ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding

Xue, L., Yu, N., Zhang, S., Panagopoulou, A., Li, J., Martín-Martín, R., Wu, J., Xiong, C., Xu, R., Niebles, J. C., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisMultimodal Machine Learning Applications

Cited by 144

Structured Scene Memory for Vision-Language Navigation

Wang, H., Wang, W., Liang, W., Xiong, C., & Shen, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 123

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

Fabbri, A., Wu, C.-S., Liu, W., & Xiong, C. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingAdvanced Text Analysis Techniques

Cited by 119

A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents

Huang, W.-C., Zhang, W., Liang, Y., Bei, Y., Chen, Y., Feng, T., Pan, X., Tan, Z., Wang, Y., Wei, T., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 70

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Xie, T., Zhang, D., Chen, J., Li, X., Zhao, S., Cao, R., Hua, T. J., Cheng, Z., Shin, D., Lei, F., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 64