Bendersky, Michael

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

Srinivasan, K., Raman, K., Chen, J., Bendersky, M., & Najork, M. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 214

The LambdaLoss Framework for Ranking Metric Optimization

Wang, X., Li, C., Golbandi, N., Bendersky, M., & Najork, M. (2018) · Proceedings of the 27th ACM International Conference on Information and Knowledge Management

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 136

LaMP: When Large Language Models Meet Personalization

Salemi, A., Mysore, S., Bendersky, M., & Zamani, H. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 109

LaMP: When Large Language Models Meet Personalization

Salemi, A., Mysore, S., Bendersky, M., & Zamani, H. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 109

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Li, Z., Li, C., Zhang, M., Mei, Q., & Bendersky, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track

Topic ModelingInformation Retrieval and Search Behavior

Cited by 49

Multi-Aspect Dense Retrieval

Kong, W., Khadanga, S., Li, C., Gupta, S. K., Zhang, M., Xu, W., & Bendersky, M. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Information Retrieval and Search BehaviorAdvanced Image and Video Retrieval Techniques

Cited by 27

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Qin, Z., Jagerman, R., Hui, K., Zhuang, H., Wu, J., Yan, L., Shen, J., Liu, T., Liu, J., Metzler, D., et al. (2023) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 16

OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning

Opsahl-Ong, K., Singhvi, A., Collins, J., Zhou, I., Wang, C., Baheti, A., Oertell, O., Portes, J., Havens, S., Elsen, E., et al. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0