A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems. - Hansi Zeng; Qingyao Ai (CoRR, 2020)

A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System. - Hansi Zeng; Zhichao Xu 001; Qingyao Ai (ECIR (1), 2021)

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation. - Zhichao Xu 001; Hansi Zeng; Qingyao Ai (ICTIR, 2021)

A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System. - Hansi Zeng; Zhichao Xu 001; Qingyao Ai (CoRR, 2021)

Curriculum Learning for Dense Retrieval Distillation. - Hansi Zeng; Hamed Zamani; Vishwa Vinay (SIGIR, 2022)

Soft Prompt Decoding for Multilingual Dense Retrieval. - Zhiqi Huang 002; Hansi Zeng; Hamed Zamani; James Allan (SIGIR, 2023)

A Personalized Dense Retrieval Framework for Unified Information Access. - Hansi Zeng; Surya Kallumadi; Zaid Alibadi; Rodrigo Nogueira 001; Hamed Zamani (SIGIR, 2023)

Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models. - Reshmi Ghosh; Harjeet Singh Kajal; Sharanya Kamath; Dhuri Shrivastava; Samyadeep Basu; Hansi Zeng; Soundararajan Srinivasan (CoRR, 2023)

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. - Tianxin Wei; Bowen Jin; Ruirui Li 002; Hansi Zeng; Zhengyang Wang; Jianhui Sun; Qingyu Yin; Hanqing Lu; Suhang Wang; Jingrui He; Xianfeng Tang (ICLR, 2024)

Language Models as Semantic Indexers. - Bowen Jin; Hansi Zeng; Guoyin Wang 001; Xiusi Chen; Tianxin Wei; Ruirui Li 002; Zhengyang Wang; Zheng Li 018; Yang Li; Hanqing Lu; Suhang Wang; Jiawei Han 001; et al. (ICML, 2024)

Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding. - Hansi Zeng; Chen Luo 003; Hamed Zamani (SIGIR, 2024)

Scalable and Effective Generative Information Retrieval. - Hansi Zeng; Chen Luo 003; Bowen Jin; Sheikh Muhammad Sarwar; Tianxin Wei; Hamed Zamani (WWW, 2024)

Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models. - Chris Samarinas; Pracha Promthaw; Atharva Nijasure; Hansi Zeng; Julian Killingback; Hamed Zamani (CoRR, 2024)

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. - Zhichao Xu 001; Hansi Zeng; Juntao Tan; Zuohui Fu; Yongfeng Zhang; Qingyao Ai (ACM Trans. Inf. Syst., 2024)

Inference Scaling for Long-Context Retrieval Augmented Generation. - Zhenrui Yue; Honglei Zhuang; Aijun Bai; Kai Hui 001; Rolf Jagerman; Hansi Zeng; Zhen Qin 001; Dong Wang 002; Xuanhui Wang; Michael Bendersky (ICLR, 2025)

Hypencoder: Hypernetworks for Information Retrieval. - Julian Killingback; Hansi Zeng; Hamed Zamani (SIGIR, 2025)

Scaling Sparse and Dense Retrieval in Decoder-Only LLMs. - Hansi Zeng; Julian Killingback; Hamed Zamani (SIGIR, 2025)

ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models. - Simeng Han; Frank Palma Gomez; Tu Vu; Zefei Li; Daniel Cer; Hansi Zeng; Chris Tar; Arman Cohan; Gustavo Hernández Ábrego (CoRR, 2025)

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning. - Bowen Jin; Hansi Zeng; Zhenrui Yue; Dong Wang 002; Hamed Zamani; Jiawei Han 001 (CoRR, 2025)

Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs? - Hansi Zeng; Kai Hui 001; Honglei Zhuang; Zhen Qin 001; Zhenrui Yue; Hamed Zamani; Dana Alon (CoRR, 2025)