Self-supervised query reformulation for code search

Y Mao, C Wan, Y Jiang, X Gu - Proceedings of the 31st ACM Joint …, 2023 - dl.acm.org
Automatic query reformulation is a widely utilized technology for enriching user
requirements and enhancing the outcomes of code search. It can be conceptualized as a …

Investigating the role of in-situ user expectations in Web search

B Wang, J Liu - Information Processing & Management, 2023 - Elsevier
Pre-adoption expectations often serve as an implicit reference point in users' evaluation of
information systems and are closely associated with their goals of interactions, behaviors …

Where Do Queries Come From?

M Alaofi, L Gallagher, D Mckay, LL Saling… - Proceedings of the 45th …, 2022 - dl.acm.org
Where do queries--the words searchers type into a search box--come from? The Information
Retrieval community understands the performance of queries and search engines …

A flexible framework for offline effectiveness metrics

A Moffat, J Mackenzie, P Thomas… - Proceedings of the 45th …, 2022 - dl.acm.org
The use of offline effectiveness metrics is one of the cornerstones of evaluation in
information retrieval. Static resources that include test collections and sets of topics, the …

Toward Cranfield-inspired reusability assessment in interactive information retrieval evaluation

J Liu - Information Processing & Management, 2022 - Elsevier
Re-using research resources is essential for advancing knowledge and developing
repeatable, empirically solid experiments in scientific fields, including interactive information …

Capability-aware prompt reformulation learning for text-to-image generation

J Zhan, Q Ai, Y Liu, J Chen, S Ma - … of the 47th International ACM SIGIR …, 2024 - dl.acm.org
Text-to-image generation systems have emerged as revolutionary tools in the realm of
artistic creation, offering unprecedented ease in transforming textual prompts into visual art …

A reference-dependent model for web search evaluation: Understanding and measuring the experience of boundedly rational users

N Chen, J Liu, T Sakai - Proceedings of the ACM web conference 2023, 2023 - dl.acm.org
Previous researches demonstrate that users' actions in search interaction are associated
with relative gains and losses to reference points, known as the reference dependence …

The SimIIR 2.0 framework: user types, Markov model-based interaction simulation, and advanced query generation

S Zerhoudi, S Günther, K Plassmeier, T Borst… - Proceedings of the 31st …, 2022 - dl.acm.org
Simulated user retrieval system interactions enable studies with controlled user behavior. To
this end, the SimIIR framework offers static, rule-based methods. We present an extended …

Dance: Learning a domain adaptive framework for deep hashing

H Wang, J Sun, X Wei, S Zhang, C Chen… - Proceedings of the …, 2023 - dl.acm.org
This paper studies unsupervised domain adaptive hashing, which aims to transfer a hashing
model from a label-rich source domain to a label-scarce target domain. Current state-of-the …

Ai can be cognitively biased: An exploratory study on threshold priming in llm-based batch relevance assessment

N Chen, J Liu, X Dong, Q Liu, T Sakai… - Proceedings of the 2024 …, 2024 - dl.acm.org
Cognitive biases are systematic deviations in thinking that lead to irrational judgments and
problematic decision-making, extensively studied across various fields. Recently, large …