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13 papers · 1 filter
GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation
Kaustubh Dhole, Eugene Agichtein
Query Reformulation(QR) is a set of techniques used to transform a user's original search query to a text that better aligns with the user's intent and improves their search experi…
Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research
Harshita Sahijwani, Kaustubh Dhole, Ankur Purwar +2
Structured interviews are used in many settings, importantly in market research on topics such as brand perception, customer habits, or preferences, which are critical to product d…
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting
Jiaying Lu, Jiaming Shen, Bo Xiong +3
Medical decision-making processes can be enhanced by comprehensive biomedical knowledge bases, which require fusing knowledge graphs constructed from different sources via a unifor…
C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval
Eugene Yang, Suraj Nair, Ramraj Chandradevan +2
Pretrained language models have improved effectiveness on numerous tasks, including ad-hoc retrieval. Recent work has shown that continuing to pretrain a language model with auxili…
Controllable Gradient Item Retrieval
Haonan Wang, Chang Zhou, Carl Yang +2
In this paper, we identify and study an important problem of gradient item retrieval. We define the problem as retrieving a sequence of items with a gradual change on a certain att…
RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search
Jianghong Zhou, Eugene Agichtein
To support complex search tasks, where the initial information requirements are complex or may change during the search, a search engine must adapt the information delivery as the…