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Findings

Findings

Tuesday 8th April | 14.30-16.00 | Guinigi Chapel – IMT Campus

Evaluating Auto-complete Ranking for Diversity and Relevance Sonali Singh, Sachin Farfade and Prakash Mandayam Comar
Semantically Proportioned nDCG for Explaining ColBERT’s Learning Process Ariane Mueller and Craig Macdonald
Exploring the relationship between listener receptivity and source of music recommendations John Paul Vargheese, Marianne Wilson, Katherine Stephen, Rachel Salzano and David Brazier
Uncertainty Estimation in the Real World: A study on Music Emotion Recognition Karn N Watcharasupat, Yiwei Ding, Aleksandra T Ma, Pavan Seshadri and Alexander Lerch
Unraveling the Impact of Visual Complexity on Search as Learning Wolfgang Gritz, Anett Hoppe and Ralph Ewerth
Semi-supervised image-based narrative extraction: A case study with historical photographic records Fausto German, Brian Keith, Mauricio Matus, Diego Urrutia and Claudio Meneses
FrameworkX: A Reusable RAG Framework and Baselines for TrackY Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell and Jimmy Lin
Lost but Not Only in the Middle: Positional Bias in Retrieval Augmented Generation Jan Hutter, David Rau, Maarten Marx and Jaap Kamps
Evaluating Sequential Recommendations in the Wild: A Case Study on Offline Accuracy, Click Rates, and Consumption Anastasiia Klimashevskaia, Snorre Alvsvåg, Christoph Trattner, Alain D. Starke, Astrid Tessem and Dietmar Jannach
Biased PromptORE: Enhancing Relation Extraction in Gendered Languages and Complex Texts – The Case of Spanish Documents from the XVI Century Héctor López Hidalgo, Michel Boeglin, David Kahn, Josiane Mothe, Diego Ortiz and David Panzoli
Efficient Session Retrieval Using Topical Index Shards Gijs Hendriksen, Djoerd Hiemstra and Arjen de Vries