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Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
Physiological signals such as pupil dilation and gaze velocity, recorded using eye-tracking devices, have been shown to be useful to …
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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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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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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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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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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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Overview of EXIST 2024 -- Learning with Disagreement for Sexism Identification and Characterization in Tweets and Memes
In recent years, the rapid increase in the dissemination of offensive and discriminatory material aimed at women through social media …
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Advancing Physiological Methods for Human-Information Interaction
With the advancement of pervasive technology, information interaction has become increasingly ubiquitous. In these diverse information …
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Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?
Information-seeking dialogues span a wide range of questions, from simple factoid to complex queries that require exploring multiple …
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Characterizing Information Seeking Processes with Multiple Physiological Signals
Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly …
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