Search Results for author:
Found 8 papers, 3 papers with code
Online and Offline Evaluation in Search Clarification
The effectiveness of clarification question models in engaging users within search systems is currently constrained, casting doubt on their overall usefulness.
Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot
Creating and deploying customized applications is crucial for operational success and enriching user experiences in the rapidly evolving modern business world.
i-Align: an interpretable knowledge graph alignment model
One of the strategies to address this problem is KG alignment, i. e., forming a more complete KG by merging two or more KGs.
Designing and Evaluating Presentation Strategies for Fact-Checked Content
We address this research gap by exploring the critical design elements in fact-checking reports and investigating whether credibility and presentation-based design improvements can enhance users' ability to interpret the report accurately.
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities
Physiological signals can potentially be applied as objective measures to understand the behavior and engagement of users interacting with information access systems.
MIMICS-Duo: Offline & Online Evaluation of Search Clarification
Asking clarification questions is an active area of research; however, resources for training and evaluating search clarification methods are not sufficient.
Evaluating Fairness in Argument Retrieval
In this work, we analyze a range of non-stochastic fairness-aware ranking and diversity metrics to evaluate the extent to which argument stances are fairly exposed in argument retrieval systems.
Answer Interaction in Non-factoid Question Answering Systems
Information retrieval systems are evolving from document retrieval to answer retrieval.
