| Curriculum learning for dense retrieval distillation H Zeng, H Zamani, V Vinay Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 58 | 2022 |
| Scalable and effective generative information retrieval H Zeng, C Luo, B Jin, SM Sarwar, T Wei, H Zamani Proceedings of the ACM Web Conference 2024, 1441-1452, 2024 | 33 | 2024 |
| Language models as semantic indexers B Jin, H Zeng, G Wang, X Chen, T Wei, R Li, Z Wang, Z Li, Y Li, H Lu, ... arXiv preprint arXiv:2310.07815, 2023 | 23 | 2023 |
| A personalized dense retrieval framework for unified information access H Zeng, S Kallumadi, Z Alibadi, R Nogueira, H Zamani Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 18 | 2023 |
| Towards universal multi-modal personalization: A language model empowered generative paradigm T Wei, B Jin, R Li, H Zeng, Z Wang, J Sun, Q Yin, H Lu, S Wang, J He The Twelfth International Conference on Learning Representations, 2023 | 18* | 2023 |
| Inference scaling for long-context retrieval augmented generation Z Yue, H Zhuang, A Bai, K Hui, R Jagerman, H Zeng, Z Qin, D Wang, ... arXiv preprint arXiv:2410.04343, 2024 | 16 | 2024 |
| A reusable model-agnostic framework for faithfully explainable recommendation and system scrutability Z Xu, H Zeng, J Tan, Z Fu, Y Zhang, Q Ai ACM Transactions on Information Systems 42 (1), 1-29, 2023 | 15 | 2023 |
| Soft prompt decoding for multilingual dense retrieval Z Huang, H Zeng, H Zamani, J Allan Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 14 | 2023 |
| Understanding the effectiveness of reviews in e-commerce top-n recommendation Z Xu, H Zeng, Q Ai Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021 | 12 | 2021 |
| Planning ahead in generative retrieval: Guiding autoregressive generation through simultaneous decoding H Zeng, C Luo, H Zamani Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 11 | 2024 |
| A zero attentive relevance matching network for review modeling in recommendation system H Zeng, Z Xu, Q Ai Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 10 | 2021 |
| Simulating task-oriented dialogues with state transition graphs and large language models C Samarinas, P Promthaw, A Nijasure, H Zeng, J Killingback, H Zamani arXiv preprint arXiv:2404.14772, 2024 | 6 | 2024 |
| A hierarchical self-attentive convolution network for review modeling in recommendation systems H Zeng, Q Ai arXiv preprint arXiv:2011.13436, 2020 | 6 | 2020 |
| Hypencoder: Hypernetworks for Information Retrieval J Killingback, H Zeng, H Zamani arXiv preprint arXiv:2502.05364, 2025 | 1 | 2025 |
| ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models S Han, FP Gomez, T Vu, Z Li, D Cer, H Zeng, C Tar, A Cohan, GH Abrego arXiv preprint arXiv:2502.16766, 2025 | | 2025 |
| Scaling Sparse and Dense Retrieval in Decoder-Only LLMs H Zeng, J Killingback, H Zamani arXiv preprint arXiv:2502.15526, 2025 | | 2025 |
| Multi-Modal Augmentation for Large Language Models with Applications to Task-Oriented Dialogues C Samarinas, P Promthaw, R Lekhwani, S Mysore, SM Huang, A Nijasure, ... 2nd Proceedings of Alexa Prize TaskBot (Alexa Prize 2023), 2023 | | 2023 |
Hamed ZamaniAssociate Professor of Computer Science, University of Massachusetts AmherstPreverjeni e-poštni naslov na cs.umass.edu