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ORCID48th ECIR 2026: Delft, The Netherlands - Part II
- Ricardo Campos
, Adam Jatowt, Yanyan Lan, Mohammad Aliannejadi, Christine Bauer, Sean MacAvaney, Avishek Anand, Zhaochun Ren, Suzan Verberne, Nan Bai, Masoud Mansoury:
Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II. Lecture Notes in Computer Science 16484, Springer 2026, ISBN 978-3-032-21299-3
Full Papers
- Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma:
Measuring Individual User Fairness with User Similarity and Effectiveness Disparity. 3-21 - Muhammad Haris, Hans Höft, Markus M. Becker, Markus Stocker:
Nested Named Entity Recognition in Plasma Physics Research Articles. 22-37 - Lili Lu, Fabio Crestani:
Exploring User Simulators in Conversational Search: A Comparison Between LLMs and Humans. 38-54 - Xiana Carrera, Marcos Fernández-Pichel, David E. Losada:
Query Harmfulness Prediction (QHP): A New Challenge for Safer Retrieval Systems. 55-69 - Samaneh Mohtadi, Kevin Roitero, Stefano Mizzaro, Gianluca Demartini:
The Effect of Document Summarization on LLM-Based Relevance Judgments. 70-87 - Samaneh Mohtadi, Gianluca Demartini:
Query-Document Dense Vectors for LLM Relevance Judgment Bias Analysis. 88-103 - Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh, Jimmy Lin:
Contrastive Learning Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data. 104-121 - Daan L. Di Scala, Maaike H. T. de Boer:
Let Me Explain - Knowledge-Based Retrieval Augmented Generation for Agricultural Recommendation Explanations. 122-138 - Angelina Parfenova, David Graus, Jürgen Pfeffer:
From Quotes to Concepts: Axial Coding of Political Debates with Ensemble LMs. 139-154 - Payel Santra, Partha Basuchowdhuri, Debasis Ganguly:
Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework. 155-171 - Hyewon Kim, Hyun-Je Song:
Improving Instruction-Aware Retrieval with Query-Preserving Regularization. 172-187 - Jia-Huei Ju, François G. Landry, Eugene Yang, Suzan Verberne, Andrew Yates:
LANCER: LLM Reranking for Nugget Coverage. 188-203 - Chuang Li, Weida Liang, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li, Yang Deng:
Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking. 204-221 - Jasmin S. Saxer, Jonathan Gerber, Andreas Weiler, Michael Grossniklaus:
Website Segmentation Beyond Structure: A Benchmark on Functional and Digital Maturity Classes. 222-236 - Elias Lumer, Anmol Gulati, Vamse Kumar Subbiah, Pradeep Honaganahalli Basavaraju, James A. Burke:
MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Retrieval and Invocation in LLM Agent Multi-turn Conversations. 237-253 - Donghuo Zeng, Hao Niu, Yanan Wang, Masato Taya:
Learning Audio-Visual Embeddings with Inferred Latent Interaction Graphs. 254-270
Short Papers
- Steven Dong, Yubao Tang, Maarten de Rijke:
Multi-Step Semantic Reasoning in Generative Retrieval. 273-281 - Ruyin Li, Xiaoyu Chen:
SSEmb: A Joint Structural and Semantic Embedding Framework for Mathematical Formula Retrieval. 282-291 - Pablo Landrove, Marcos Fernández-Pichel, David E. Losada:
On the Viability of Exploiting Large Language Models for Misinformation Annotation. 292-300 - Laura Dietz, Bryan Li, Gabrielle K. Liu, Jia-Huei Ju, Eugene Yang, Dawn J. Lawrie, William Gantt Walden, James Mayfield:
Incorporating Q&A Nuggets Into Retrieval-Augmented Generation. 301-309 - Jeevan Thapa, Sinan Zhao, Koyoshi Shindo:
Evolving Mixture of Low-Rank Experts for Continual User Modeling. 310-319 - Shani Goren, Oren Kalinsky, Tomer Stav, Nachshon Cohen, Yuri Rapoport, Yaron Fairstein, Ram Yazdi, Alexander Libov, Guy Kushilevitz:
Personalized Autocompletion of Interactions with LLM-Based Chatbots. 320-327 - Omed Abed, Md. Samiul Haque, Patrick-Benjamin Bök, Matteo Große-Kampmann:
Evaluating Large Language Models as Domain-Specific Retrieval Agents: A Study on Cybersecurity Challenge Benchmarks. 328-337 - Riccardo Zamolo, Riccardo Lunardi, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Kevin Roitero:
Large Language Models as Assessors: On the Impact of Relevance Scales. 338-348 - Gaia Simeoni, Michael Soprano, Riccardo Lunardi, Kevin Roitero, Stefano Mizzaro:
Analyzing AI Evaluation Benchmarks Through Information Retrieval and Network Science. 349-359 - Gabrielle Kaili-May Liu, Bryan Li, Arman Cohan, William Gantt Walden, Eugene Yang:
Investigating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries. 360-370 - Saisab Sadhu, Dwaipayan Roy, Tanmay Basu:
DARE: A Dialectical Framework for Adversarial and Evidence-Aware RAG. 371-379 - Jiaqi Samantha Zhan, Crystina Zhang, Shengyao Zhuang, Xueguang Ma, Jimmy Lin:
Do We Still Need Text Features for Video Retrieval in the Era of Vision-Language Models? 380-387 - Hrishita Chakrabarti, Maria Soledad Pera:
Query Performance Prediction Using a Child-Focused Definition of Relevance. 388-399 - Amin Bigdeli, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri:
ReFormeR: Learning and Applying Explicit Query Reformulation Patterns. 400-408 - Tanmay Karmakar, Sourav Saha, Debapriyo Majumdar, Surjyanee Halder:
One Word Is Enough: Minimal Adversarial Perturbations for Neural Text Ranking. 409-417 - Karla Schäfer:
Text Vs. Speech? Detecting Audio Deepfakes on Instagram. 418-426 - Rodrigo Batista, Luís Filipe Cunha, Purificação Silvano, Nuno Guimarães, Alípio Jorge, Evelin Amorim, Ricardo Campos:
MiNER: A Two-Stage Pipeline for Metadata Extraction from Municipal Meeting Minutes. 427-435 - Watheq Mansour, J. Shane Culpepper, Joel Mackenzie, Andrew Yates:
Revisiting Human-vs-LLM Judgments Using the TREC Podcast Track. 436-443 - Sebastian Bruch, Martino Fontana, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
Forward Index Compression for Learned Sparse Retrieval. 444-451 - David Otero, Javier Parapar:
LLM-Assisted Pseudo-Relevance Feedback. 452-459 - Amir Khosrojerdi, Radin Hamidi Rad, Ebrahim Bagheri:
Adversarial Edge Perturbation Framework in Graph-Based Retrieval. 460-469 - Youssef Mohamed, Mohamed Elhoseiny, Thibault Formal, Nadezhda Chirkova:
XProvence: Zero-Cost Multilingual Context Pruning for Retrieval-Augmented Generation. 470-480 - Mehmet Erdeniz Aydogdu, Yagmur Duru Tüfekçioglu, Ismail Sengor Altingovde, Pinar Karagoz, Ismail Hakki Toroslu:
EmbMerge: A Transformer-Based Method for Fusing CDR Lists. 481-489 - Tz-Huan Hsu, Sian-Yao Huang, Che-Yu Lin, Cheng-Lin Yang:
Enhancing Attention-Based Context Attribution via Token Selection and Think-Twice Mechanism. 490-498 - Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Wei Lin, Jiaxin Mao:
Beyond Persuasiveness: A User-Centric Evaluation Framework of Explanations for Food Recommendation. 499-507 - Nikita Severin, Danil Kartushov, Vladislav Urzhumov, Vladislav Kulikov, Oksana Konovalova, Alexey Grishanov, Anton Klenitskiy, Artem Fatkulin, Alexey Vasilev, Andrey V. Savchenko, Ilya Makarov:
Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation. 508-517 - Payel Santra, Partha Basuchowdhuri, Debasis Ganguly:
Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction. 518-526 - Weronika Lajewska, Krisztian Balog:
Trust Me on This: A User Study of Trustworthiness for RAG Responses. 527-536 - Debashish Chakraborty, Eugene Yang, Daniel Khashabi, Dawn J. Lawrie, Kevin Duh:
Principled Context Engineering for RAG: Statistical Guarantees via Conformal Prediction. 537-546 - Abbas Saleminezhad, Negar Arabzadeh, Seyed Mohammad Hosseini, Soosan Beheshti, Ebrahim Bagheri:
Structure-Aware Pre-retrieval Performance Prediction on Query Affinity Graphs. 547-556 - Amirabbas Afzali, Amirreza Velae, Iman Ahmadi, Mohammad Aliannejadi:
Controlling Gender Bias in Retrieval via a Backpack Architecture. 557-565 - Zeyuan Meng, Zixuan Yi, Iadh Ounis:
Knowledge-Enhanced Multi-agent for LLM-Based Recommendation. 566-576 - Kimia Abedini, Farzad Shami, Gianmaria Silvello:
From Single to Multi-agent Reasoning: Advancing GeneGPT for Genomics QA. 577-585 - Omar Adjali, Siting Liang, Omair Shahzad Bhatti, Daniel Sonntag:
Aligning Instruction-Tuned LLMs for Event Extraction with Multi-objective Reinforcement Learning. 586-595 - Aleksei Shestov, Anton Klenitskiy, Daria Denisova, Amurkhan Dzagkoev, Daniil Petrovich, Andrey V. Savchenko, Maksim Makarenko:
Topological Metric for Unsupervised Embedding Quality Evaluation. 596-605 - Arian Askari, Chuan Meng, Mohammad Aliannejadi, Zhaochun Ren, Evangelos Kanoulas, Suzan Verberne:
Generative Retrieval with Few-Shot Indexing. 606-614 - Edward Richards, Javier Sanz-Cruzado, Richard McCreadie:
Correct but Incomplete: Why Chain-of-Thought Cannot Currently Support Auditable Reasoning. 615-623
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