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Can We Hide Machines in the Crowd? Quantifying Equivalence in LLM-in-the-loop Annotation Tasks
Many evaluations of large language models (LLMs) in text annotation focus primarily on the correctness of the output, typically …
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ISMIE: A Framework to Characterize Information Seeking in Modern Information Environments
The modern information environment (MIE) is increasingly complex, shaped by a wide range of techniques designed to satisfy users’ …
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Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
Eye-tracking data has been shown to correlate with a user’s knowledge level and query formulation behaviour. While previous work …
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Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
Evaluating Numeracy of Language Models as a Natural Language Inference Task
While recent advancements in large language models (LLMs) have enhanced their capabilities to solve mathematical problems, other …
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Evaluating Numeracy of Language Models as a Natural Language Inference Task
EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos
The paper describes the EXIST 2025 lab on Sexism identification in social networks, that is expected to take place at the CLEF 2025 …
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EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos
NeuroPhysIIR: International Workshop on NeuroPhysiological Approaches for Interactive Information Retrieval
The International Workshop on NeuroPhysiological Approaches for Interactive Information Retrieval (NeuroPhysIIR'25) aims to bringing …
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NeuroPhysIIR: International Workshop on NeuroPhysiological Approaches for Interactive Information Retrieval
Overview of EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos
This paper presents the EXIST 2025 lab on sexism detection and categorization in social media, which took place at the CLEF 2025 …
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Overview of EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos
Preaching to the ChoIR: Lessons IR Should Share with AI
The field of Information Retrieval (IR) changed profoundly at the end of the 1990s with the rise of Web Search, and there are parallels …
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Preaching to the ChoIR: Lessons IR Should Share with AI
Responsible AI From the Lens of an Information Retrieval Researcher: A Hands-On Tutorial
While the concept of responsible AI is becoming more and more popular, practitioners and researchers may often struggle to characterize …
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Responsible AI From the Lens of an Information Retrieval Researcher: A Hands-On Tutorial
Two Heads Are Better Than One: Improving Search Effectiveness Through LLM Generated Query Variants
User query quality impacts retrieval effectiveness. This study categorizes thousands of user queries spanning one hundred topics into …
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