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pro vyhledávání: '"Agichtein, Eugene"'
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 experience. Recently, zero-shot QR has been a promising approach due to its
Externí odkaz:
http://arxiv.org/abs/2405.17658
Conversational Task Assistants (CTAs) guide users in performing a multitude of activities, such as making recipes. However, ensuring that interactions remain engaging, interesting, and enjoyable for CTA users is not trivial, especially for time-consu
Externí odkaz:
http://arxiv.org/abs/2404.06659
Autor:
Dhole, Kaustubh, Agichtein, Eugene
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 experience. Recently, zero-shot QR has been shown to be a promising approach
Externí odkaz:
http://arxiv.org/abs/2404.03746
State-of-the-art neural rankers pre-trained on large task-specific training data such as MS-MARCO, have been shown to exhibit strong performance on various ranking tasks without domain adaptation, also called zero-shot. However, zero-shot neural rank
Externí odkaz:
http://arxiv.org/abs/2404.02489
Formulating effective search queries remains a challenging task, particularly when users lack expertise in a specific domain or are not proficient in the language of the content. Providing example documents of interest might be easier for a user. How
Externí odkaz:
http://arxiv.org/abs/2403.15667
Many Natural Language Generation (NLG) tasks aim to generate a single output text given an input prompt. Other settings require the generation of multiple texts, e.g., for Synthetic Traffic Generation (STG). This generation task is crucial for traini
Externí odkaz:
http://arxiv.org/abs/2311.12534
While search is the predominant method of accessing information, formulating effective queries remains a challenging task, especially for situations where the users are not familiar with a domain, or searching for documents in other languages, or loo
Externí odkaz:
http://arxiv.org/abs/2311.11226
Interactive search can provide a better experience by incorporating interaction feedback from the users. This can significantly improve search accuracy as it helps avoid irrelevant information and captures the users' search intents. Existing state-of
Externí odkaz:
http://arxiv.org/abs/2310.03043
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 development, marketing, and e-commerce at large. Such interviews genera
Externí odkaz:
http://arxiv.org/abs/2305.00577
Open-domain conversational search (ODCS) aims to provide valuable, up-to-date information, while maintaining natural conversations to help users refine and ultimately answer information needs. However, creating an effective and robust ODCS agent is c
Externí odkaz:
http://arxiv.org/abs/2304.02233