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Sessions

Evaluation

0582Francesco Luigi De Faveri, Guglielmo Faggioli and Nicola
Ferro
Measuring Actual Privacy of Obfuscated Queries in
Information Retrieval
1336Kasra Hosseini, Thomas Kober, Josip Krapac, Roland
Vollgraf, Weiwei Cheng and Ana Peleteiro Ramallo
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal
LLMs for Large-Scale Product Retrieval Evaluation
2804Jack McKechnie, Graham McDonald and Craig MacdonaldContext Example Selection For LLM Generated Relevance
Assessments
3868Maik Fröbe, Andrew Parry, Harrisen Scells, Shuai Wang,
Shengyao Zhuang, Guido Zuccon, Martin Potthast and Matthias
Hagen
Corpus Subsampling: Estimating the Effectiveness of Neural
Retrieval Models on Large Corpora
7064Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten
de Rijke and Andy Pimentel
PEIR: Modeling Performance in Neural Information Retrieval
9267David Otero, Javier Parapar and Alvaro BarreiroTowards Reliable Testing for Multiple Information Retrieval
System Comparisons

Domain-specific tasks and specific user groups

9693Robin Ungruh, Alejandro Bellogín and Maria Soledad PeraThe Impact of Mainstream-Driven Algorithms on
Recommendations For Children
4467Jesus Lovon-Melgarejo, Martin Mouysset, Jo Oleiwan, Jose G
Moreno, Christine Damase-Michel and Lynda Tamine
Evaluating LLM Abilities to Understand Tabular Electronic
Health Records: A Comprehensive Study of Patient Data
Extraction and Retrieval
9306Sajad Ebrahimi, Sara Salamat, Negar Arabzadeh, Mahdi
Bashari and Ebrahim Bagheri
exHarmony: Authorship and Citations for Benchmarking the
Reviewer Assignment Problem
9880André Rolim, Leandro Marinho, Edleno Moura, Marcos
Domingues and Ricardo Oliveira
Leveraging Query Terms for Efficient Legal Document
Recommendation
1145Sumedh Vemuganti, Ayu Seiya and Nickvash KaniAdvancing Math Formula Search Using Diverse Structural and
Symbolic Representations

From facts and fairness to adversaries

0384Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham
and Yun Sing Koh
LIBRA: Measuring Bias of Large Language Model from a Local
Context
3409Bjørnar Vassøy, Benjamin Kille and Helge LangsethOpt-in Transparent Fairness for Recommender Systems
2829Anton Chernyavskiy, Dmitry Ilvovsky and Preslav NakovEnhancing FEVER-Style Claim Fact-Checking Against
Wikipedia: A Diagnostic Taxonomy and Generative Framework
4219Andreea Iana, Fabian David Schmidt, Goran Glavaš and Heiko
Paulheim
News Without Borders: Domain Adaptation of Multilingual
Sentence Embeddings for Cross-lingual News Recommendation
8730Paloma Piot and Javier ParaparTowards Efficient and Explainable Hate Speech Detection via
Model Distillation
9381Antonio Ferrara, Angela Di Fazio, Alberto Carlo Maria
Mancino, Tommaso Di Noia and Eugenio Di Sciascio
Enhancing Utility in Differentially Private Recommendation
Data Release via Exponential Mechanism

Graphs & RAG

1527Vishwajeet Kumar, Jaydeep Sen, Bhawna Chelani and Soumen
Chakrabarti
Graph Representation of Tables+Text and Compact Subgraph
Retrieval for QA Tasks
1745Giuseppe PirròHigher Order Knowledge Graph Embeddings
7820Roan Schellingerhout, Francesco Barile and Nava TintarevTown Mice versus Country Mice: Urban Bias in Job
Recommender Systems
4152Imed Keraghel and Mohamed NadifGraph-Convolutional Networks: Named Entity Recognition and
Large Language Model Embedding in Document Clustering
7124Jorge Gabín and Javier ParaparLeveraging Retrieval-Augmented Generation for Keyphrase
Synonym Suggestion
0558Fangzheng Tian, Debasis Ganguly and Craig MacdonaldIs Relevance ‘Lost in Transmission’ from Retriever to
Generator?

Recommenders

1942Yuanna Liu, Ming Li, Mohammad Aliannejadi and Maarten de
Rijke
Repeat-bias-aware Optimization of Beyond-accuracy Metrics
for Next Basket Recommendation
9668Aleksandr V. Petrov, Efi Karra Taniskidou and Sean MurphyCountNet: Utilising Repetition Counts in Sequential
Recommendation
4072Simone Borg Bruun, Maria Maistro and Christina LiomaFeature Attribution Explanations of Session-based
Recommendations
0487Armin Moradi, Nicola Neophytou, Florian Carichon and
Golnoosh Farnadi
Embedding Cultural Diversity in Prototype-based Recommender
Systems
7820Roan Schellingerhout, Francesco Barile and Nava TintarevTown Mice versus Country Mice: Urban Bias in Job
Recommender Systems
6227Keigo Sakurai, Ren Togo, Takahiro Ogawa and Miki HaseyamaLLM is Knowledge Graph Reasoner: LLM’s Intuition-aware
Knowledge Graph Reasoning for Cold-start Sequential
Recommendation

Conversational and Robust IR

3581Lili Lu, Chuan Meng, Federico Ravenda, Mohammad Aliannejadi
and Fabio Crestani
Zero-Shot and Efficient Clarification Need Prediction in
Conversational Search
1879Zahra Abbasiantaeb, Chuan Meng, Leif Azzopardi and Mohammad
Aliannejadi
Improving the Re-Usability of Conversational Search Test
Collections
3486Pengjie Ren, Ruiqi Li, Zhaochun Ren, Zhumin Chen, Maarten
de Rijke and Yangjun Zhang
Malevolence Attacks Against Pretrained Dialogue Models
7085Orion Weller, Benjamin Chang, Eugene Yang, Mahsa Yarmohammadi, Sam Barham, Sean MacAvaney, Arman Cohan, Luca Soldaini, Benjamin Van Durme and Dawn LawriemFollowIR: a Multilingual Benchmark for Instruction
Following in Information Retrieval
5515Guglielmo Faggioli, Nicola Ferro, Raffaele Perego and
Nicola Tonellotto
Query Performance Prediction using Dimension Importance
Estimators
8788Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou,
Maarten de Rijke and Xueqi Cheng
On the Robustness of Generative Information Retrieval
Models: An Out-of-Distribution Perspective

About rankers and rerankers

2008Mandeep Rathee, Sean MacAvaney and Avishek AnandGuiding Retrieval using Large Language Models
3909Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao
Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin
Potthast and Matthias Hagen
Set-Encoder: Permutation-Invariant Inter-Passage Attention
for Listwise Passage Re-Ranking with Cross-Encoders
6131Xinyu Zhang, Sebastian Hofstätter, Patrick Lewis, Raphael
Tang and Jimmy Lin
Rank-without-GPT: Building GPT-Independent Listwise
Rerankers on Open-Source Large Language Models
5449Shuoqi Sun, Shengyao Zhuang, Shuai Wang and Guido ZucconAn Investigation of Prompt Variations for Zero-shot LLM-based Rankers
7689Marwa Essam and Tamer ElsayedCan Large Language Models Effectively Rerank News Articles
for Background Linking?
0587Manish Chandra, Debasis Ganguly and Iadh OunisOne size doesn’t fit all: Predicting the Number of Examples
for In-Context Learning

Across modalities and languages

3699Zixuan Yi and Iadh OunisA Multi-modal Recipe for Improved Multi-domain
Recommendation
3703Nicola Messina, Lucia Vadicamo, Leo Maltese and Claudio
Gennaro
Towards Identity-Aware Cross-Modal Retrieval: a Dataset and
a Baseline
3953Sushil Awale, Eric Müller-Budack and Ralph EwerthPatent Figure Classification using Large Vision-language
Models
5307Wanqing Cui, Rui Cheng, Jiafeng Guo and Xueqi ChengMVAM: Multi-View Attention Method for Fine-grained
Image-Text Matching
4384Giacomo Pacini, Fabio Carrara, Nicola Messina, Nicola
Tonellotto, Giuseppe Amato and Fabrizio Falchi
Maybe you are looking for CroQS: Cross-modal Query
Suggestion for Text-to-Image Retrieval
8772Sogol Haghighat, Tim Daniel Metzler, Santosh Thoduka and
Sebastian Houben
Visual Latent Captioning – Towards Verbalizing Vision
Transformer Encoders

Efficiency in IR and NLP

1055Eugene Yang, Nicola Tonellotto, Dawn Lawrie, Sean
MacAvaney, James Mayfield, Douglas Oard and Scott Miller
MURR: Model Updating with Regularized Replay for Searching
a Document Stream
1096Shanxiu He, Mutasem Al-Darabsah, Suraj Nair, Jonathan May,
Tarun Agarwal, Tao Yang and Choon Hui Teo
Token Pruning Optimization for Efficient Dense Retrieval
with Multi-Vector Representations
8069Ghazaleh Haratinezhad Torbati, Anna Tigunova, Gerhard
Weikum and Andrew Yates
CUP: a Framework for Resource-Efficient Review-Based
Recommenders
2593Yingrui Yang, Parker Carlson, Yifan Qiao, Wentai Xie,
Shanxiu He and Tao Yang
LSTM-based Selective Dense Text Retrieval Guided by Sparse
Lexical Retrieval
9274Aymen Berriche, Mehdi Zakaria Adjal and Riyadh BaghdadiLeveraging High-Resolution Features for Improved Deep
Hashing-based Image Retrieval
3695Fatos Torba, Christophe Gravier, Charlotte Laclau,
Abderrahmen Kammoun and Julien Subercaze
Decoding the Hierarchy: A Hybrid Approach to Hierarchical
Multi-Label Text Classification

Findings

3147Sonali Singh, Sachin Farfade and Prakash Mandayam ComarEvaluating Auto-complete Ranking for Diversity and Relevance
3324Ariane Mueller and Craig MacdonaldSemantically Proportioned nDCG for Explaining ColBERT’s
Learning Process
4173John Paul Vargheese, Marianne Wilson, Katherine Stephen,
Rachel Salzano and David Brazier
Exploring the relationship between listener receptivity and
source of music recommendations
5672Karn N Watcharasupat, Yiwei Ding, Aleksandra T Ma, Pavan
Seshadri and Alexander Lerch
Uncertainty Estimation in the Real World: A study on Music
Emotion Recognition
9368Wolfgang Gritz, Anett Hoppe and Ralph EwerthUnraveling the Impact of Visual Complexity on Search as
Learning
6199Fausto German, Brian Keith, Mauricio Matus, Diego Urrutia
and Claudio Meneses
Semi-supervised image-based narrative extraction: A case
study with historical photographic records
1329Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric
Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell and Jimmy
Lin
FrameworkX: A Reusable RAG Framework and Baselines for
TrackY
2119Jan Hutter, David Rau, Maarten Marx and Jaap KampsLost but Not Only in the Middle: Positional Bias in
Retrieval Augmented Generation
4076Anastasiia Klimashevskaia, Snorre Alvsvåg, Christoph
Trattner, Alain D. Starke, Astrid Tessem and Dietmar Jannach
Evaluating Sequential Recommendations in the Wild: A Case
Study on Offline Accuracy, Click Rates, and Consumption
2590Héctor López Hidalgo, Michel Boeglin, David Kahn, Josiane
Mothe, Diego Ortiz and David Panzoli
Biased PromptORE: Enhancing Relation Extraction in Gendered
Languages and Complex Texts – The Case of Spanish Documents
from the XVI Century
3995Gijs Hendriksen, Djoerd Hiemstra and Arjen de VriesEfficient Session Retrieval Using Topical Index Shards