This paper studies retrieval-augmented approaches for personalizing large language
models (LLMs), which potentially have a substantial impact on various applications and …

Abstract Evaluation in Information Retrieval (IR) relies on post-hoc empirical procedures,
which are time-consuming and expensive operations. To alleviate this, Query Performance …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Metamorphic testing is a testing technique that can be used to verify the functional
correctness of software in the absence of an ideal oracle. This paper extends metamorphic …

There are more than twenty distinct software engineering tasks addressed with text retrieval
(TR) techniques, such as, traceability link recovery, feature location, refactoring, reuse, etc. A …

Query performance prediction (QPP) is a core task in information retrieval. The QPP task is
to predict the retrieval quality of a search system for a query without relevance judgments …

Search clarification has recently attracted much attention due to its applications in search
engines. It has also been recognized as a major component in conversational information …

Query performance prediction (QPP) aims to estimate the retrieval quality of a search system
for a query without human relevance judgments. Previous QPP methods typically return a …

Query Performance Prediction is a key task in IR, focusing on estimating the retrieval quality
of a given query without relying on human-labeled relevance judgments. Over the decades …

Predicting the performance of a search engine for a given query is a fundamental and
challenging task in information retrieval. Accurate performance predictors can be used in …