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Friday July 24, 2026

The ICTIR 2026 Conference Dinner and Awards ceremony will take place at the River's Edge Restaurant across the river from the Melbourne Convention and Exhibition Center commencing at 6:30pm pm.

Saturday July 25, 2026

All ICTIR 2026 sessions will take place in the Eureka 1/2/3 Room at the Melbourne Convention and Exhibition Center.

DOI links to the ACM Digital Library will be activated shortly prior to the day of the conference.

09:00-09:15 Conference Opening

09:15-10:15 Keynote Presentation by Sole Pera

Details of keynote presentation

10:15-10:45 Coffee

Posters for all accepted papers will also be on display, see the poster board numbering below.

10:45-12:15 Oral Presentations 1: Ranking and Recommendation

RecQuest: Towards Estimating User Domain Knowledge in Conversational Recommender Systems
Ivica Kostric, Ujwal Gadiraju, Krisztian Balog
DOI: https://doi.org/10.1145/3805713.3820438

Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation
Ben Kabongo, Arthur Satouf, Vincent Guigue
DOI: https://doi.org/10.1145/3805713.3820414

Equity by Design? On the Trade-Offs in Fairness-Driven Recommendation in Heterogeneous Two-Sided Markets
Dominykas Seputis, Rajeev Verma, Alexander Timans
DOI: https://doi.org/10.1145/3805713.3820413

Does Form Affect Function? An Extended Study of LLM Re-Ranking Behavior
Reyhaneh Goli, Alistair Moffat
DOI: https://doi.org/10.1145/3805713.3820410

Exposure-Based Reinforcement Learning to Rank
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
DOI: https://doi.org/10.1145/3805713.3820396

A Theoretical Framework for Risk Analysis of Stochastic Rankers
Debasis Ganguly
DOI: https://doi.org/10.1145/3805713.3820421

12:15-14:00 Lunch

Posters for all accepted papers will also be on display, see the poster board numbering below.

14:00-15:30 Oral Presentations 2: Evaluation, Explanation, and RAG

Reasoning with Large Language Models for Relevance Judgements
Louis Geiger, Danula Hettiachchi, Falk Scholer, Johanne Trippas
DOI: https://doi.org/10.1145/3805713.3820403

DOGMATIQ: Automated Generation of Question-and-Answer Nuggets for Report Evaluation
Bryan Li, William Gantt Walden, Yu Hou, Gabrielle Kaili-May Liu, Chris Callison-Burch, Dawn Lawrie, James Mayfield, Eugene Yang, Laura Dietz
DOI: https://doi.org/10.1145/3805713.3820425

Rank-ICL: Ranking-based In-context Learning for Search Result Explanation
Arif Laksito, Aali Alqarni, Mark Stevenson
DOI: https://doi.org/10.1145/3805713.3820420

Search Arena Meets Nuggets: Towards Explanations and Diagnostics in the Evaluation of LLM Responses
Sahel Sharifymoghaddam, Shivani Upadhyay, Nandan Thakur, Ronak Pradeep, Jimmy Lin
DOI: https://doi.org/10.1145/3805713.3820418

Towards Adaptive and Retriever-Friendly Retrieval-Augmented Generation via Reinforcement Learning
Yubo Fang, Hai-Tao Yu, Hideo Joho, Sumio Fujita
DOI: https://doi.org/10.1145/3805713.3820432

DeepResearchGym: A Free, Transparent, and Reproducible Sandbox for Deep Research
João Coelho, Jingjie Ning, Jingyuan He, Kangrui Mao, Abhijay Sai Paladugu, Pranav Setlur, Jiahe Jin, Jamie Callan, João Magalhães, Bruno Martins, Chenyan Xiong
DOI: https://doi.org/10.1145/3805713.3820409

15:30-16:00 Coffee

Posters for all accepted papers will also be on display, see the poster board numbering below.

16:00-17:00 Oral Presentations 3: Risk, Trust, and Human-Centered IR

Uncertainty Quantification for Multimodal Retrieval Augmented Generation
Simon Binz, Heydar Soudani, Faegheh Hasibi
DOI: https://doi.org/10.1145/3805713.3820431

RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation
Juhyeon Lee, Wonduk Seo, Junseo Koh, Seunghyun lee, Haihua Chen, Yi Bu
DOI: https://doi.org/10.1145/3805713.3820397

To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity
Jessica Irons, Patrick Cooper, Necva Bölücü, Andreas Duenser, Roelien C. Timmer, Huichen Yang, Changhyun Lee, Brian Jin, Stephen Wan
DOI: https://doi.org/10.1145/3805713.3820430

A Design Science Framework for Human-Agent Teams in Information Retrieval
Chirag Shah, Lynda Tamine, Mouly Dewan
DOI: https://doi.org/10.1145/3805713.3820408

17:00-17:15 Conference Close

Accepted Papers

All papers will be presented as posters, A0 portrait format, according to the numbering below

In addition, a selection of papers will be presented orally, with that selection made on the basis of likely interest to the anticipated audience and to span a variety of topics, and not as a measure of paper importance. All accepted papers rank equally in terms of importance, regardless of length or presentation format.

01: TopicTune: A Topic Alignment Approach to Improve LLMs Reasoning on Social Questions
Maryam Amirizaniani, Baktash Ansari, Chirag Shah, Afra Mashhadi
DOI: https://doi.org/10.1145/3805713.3820427

02: Preventing Content Leakage in LLM-Based Medical RAG: Structure-Only Retrieval for Faithful Clinical Summarization
Aleka Melese Ayalew, Tapio Seppänen, Mourad Oussalah
DOI: https://doi.org/10.1145/3805713.3820416

03: Uncertainty Quantification for Multimodal Retrieval Augmented Generation
Simon Binz, Heydar Soudani, Faegheh Hasibi
DOI: https://doi.org/10.1145/3805713.3820431

04: DeepResearchGym: A Free, Transparent, and Reproducible Sandbox for Deep Research
João Coelho, Jingjie Ning, Jingyuan He, Kangrui Mao, Abhijay Sai Paladugu, Pranav Setlur, Jiahe Jin, Jamie Callan, João Magalhães, Bruno Martins, Chenyan Xiong
DOI: https://doi.org/10.1145/3805713.3820409

05: LLM-Driven Usefulness Judgment for Web Search Evaluation
Mouly Dewan, Jiqun Liu, Aditya Gautam, Chirag Shah
DOI: https://doi.org/10.1145/3805713.3820429

06: Bridging the Gap between Subsampled and Full-Corpus Evaluation
Michael Dinzinger, Kanishka Ghosh Dastidar, Laura Caspari, Jelena Mitrović, Michael Granitzer
DOI: https://doi.org/10.1145/3805713.3820404

07: From Noise to Order: Learning to Rank via Denoising Diffusion
Sajad Ebrahimi, Bhaskar Mitra, Negar Arabzadeh, Ye Yuan, Haolun Wu, Fattane Zarrinkalam, Ebrahim Bagheri
DOI: https://doi.org/10.1145/3805713.3820437

08: Ranking Passages in Relevant Documents Using LLMs
Eyal El Ani, Eilon Sheetrit, Oren Kurland
DOI: https://doi.org/10.1145/3805713.3820407

09: Towards Adaptive and Retriever-friendly Retrieval-augmented Generation via Reinforcement Learning
Yubo Fang, Hai-Tao Yu, Hideo Joho, Sumio Fujita
DOI: https://doi.org/10.1145/3805713.3820432

10: A Theoretical Framework for Risk Analysis of Stochastic Rankers
Debasis Ganguly
DOI: https://doi.org/10.1145/3805713.3820421

11: Reasoning with Large Language Models for Relevance Judgements
Louis Geiger, Danula Hettiachchi, Falk Scholer, Johanne Trippas
DOI: https://doi.org/10.1145/3805713.3820403

12: Adaptive Re-Ranking
Ata Cinar Genc, Emir Kaan Korukluoglu, James Allan
DOI: https://doi.org/10.1145/3805713.3820436

13: Entity Labels Are Not Entity Signals: A Framework for Observable Relevance in Document Re-Ranking
Utshab Kumar Ghosh, Shubham Chatterjee
DOI: https://doi.org/10.1145/3805713.3820411

14: Does Form Affect Function? An Extended Study of LLM Re-Ranking Behavior
Reyhaneh Goli, Alistair Moffat
DOI: https://doi.org/10.1145/3805713.3820410

15: To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity
Jessica Irons, Patrick Cooper, Necva Bölücü, Andreas Duenser, Roelien C. Timmer, Huichen Yang, Changhyun Lee, Brian Jin, Stephen Wan
DOI: https://doi.org/10.1145/3805713.3820430

16: A Replicability Study of XTR
Rohan Jha, Reno Kriz, Benjamin Van Durme
DOI: https://doi.org/10.1145/3805713.3820423

17: Rank, Don't Generate: Statement-Level Ranking for Explainable Recommendation
Ben Kabongo, Arthur Satouf, Vincent Guigue
DOI: https://doi.org/10.1145/3805713.3820414

18: Adaptive Token-Aware Query Reformulation for Text-to-Image Retrieval
Seonah Kim, MinKeon Kim, Youjin Lee, Jaekwang Kim, Jinyoung Han, Eunil Park
DOI: https://doi.org/10.1145/3805713.3820400

19: RecQuest: Towards Estimating User Domain Knowledge in Conversational Recommender Systems
Ivica Kostric, Ujwal Gadiraju, Krisztian Balog
DOI: https://doi.org/10.1145/3805713.3820438

20: Analysis of Reasoning-Intensive Retrieval in Japanese
Hiroki Kurokawa, Hirotaka Kameko, Shinsuke Mori
DOI: https://doi.org/10.1145/3805713.3820433

21: Rank-ICL: Ranking-Based In-Context Learning for Search Result Explanation
Arif Laksito, Aali Alqarni, Mark Stevenson
DOI: https://doi.org/10.1145/3805713.3820420

22: A Comprehensive Taxonomy of Temporal Dimensions in Natural Language Queries
Ivano Lauriola
DOI: https://doi.org/10.1145/3805713.3820426

23: RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation
Juhyeon Lee, Wonduk Seo, Junseo Koh, Seunghyun lee, Haihua Chen, Yi Bu
DOI: https://doi.org/10.1145/3805713.3820397

24: DOGMATIQ: Automated Generation of Question-and-Answer Nuggets for Report Evaluation
Bryan Li, William Gantt Walden, Yu Hou, Gabrielle Kaili-May Liu, Chris Callison-Burch, Dawn Lawrie, James Mayfield, Eugene Yang, Laura Dietz
DOI: https://doi.org/10.1145/3805713.3820425

25: RAMP: Robust Ad Recommendation Under Limited Personalized-Feature Availability Via Masking and Alignment Pathways
Dairui Liu, Zhongyi Lu, Roger Zhe Li, Changhong Jin, Jitao Lu, Xinyang Shao, Bichen Shi, Mete Sertkan, Aghiles Salah, Aonghus Lawlor, Barry Smyth, Tri Kurniawan Wijaya, Ruihai Dong, Xingsheng Guo
DOI: https://doi.org/10.1145/3805713.3820399

26: RIDRec: Retrieval-Enhanced Intent Diffusion for Anonymous Short-Session Recommendation
Peilin Liu, Zhiquan Ji, Gang Yan
DOI: https://doi.org/10.1145/3805713.3820428

27: Exposure-Based Reinforcement Learning to Rank
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
DOI: https://doi.org/10.1145/3805713.3820396

28: Relaxed Term Matching for Neural Axiomatic Diagnostics
Andrew Parry, Maik Fröbe, Martin Potthast, Sean MacAvaney, Benno Stein, Matthias Hagen, Debasis Ganguly
DOI: https://doi.org/10.1145/3805713.3820405

29: RAAD: Retrieval-Augmented Ambiguity Detection via Answer Diversity
Parth Patel, Sarah Kamoun, Bita Azad, Faezeh Ensan
DOI: https://doi.org/10.1145/3805713.3820422

30: Stability in Competitive Search with Results Diversification
Itamar Reinman, Omer Madmon, Moshe Tennenholtz, Oren Kurland
DOI: https://doi.org/10.1145/3805713.3820417

31: Interpretable Legal Similarity: From Embeddings to Obligations
Adam Roegiest, Johanne Trippas
DOI: https://doi.org/10.1145/3805713.3820406

32: ARIC: A Cognitive Framework for Explanatory Narrative Evaluation in Conversational Information Seeking Systems
Vahid Sadiri Javadi, Sadia Naseer, Ali Ather, Lucie Flek, Johanne Trippas
DOI: https://doi.org/10.1145/3805713.3820401

33: Plan-and-Refine in RAG: Generating Diverse and Comprehensive Responses through Global Exploration and Local Exploitation
Alireza Salemi, Chris Samarinas, Hamed Zamani
DOI: https://doi.org/10.1145/3805713.3820415

34: Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage
Saron Samuel, Alexander Martin, Eugene Yang, Andrew Yates, Dawn Lawrie, Ian Soboroff, Laura Dietz, Benjamin Van Durme
DOI: https://doi.org/10.1145/3805713.3820424

35: Model Merging as an Alternative to Fine-Tuning on Combined Data for a Multi-Domain Dense Retriever
Taiga Sasaki, Takehiro Yamamoto, Hiroaki Ohshima, Sumio Fujita
DOI: https://doi.org/10.1145/3805713.3820398

36: MedQueryIntent: A Large-Scale Benchmark Dataset for Medical Search Intent Classification
Samantha Schnell, Supriya Kottam, Yingcheng Sun
DOI: https://doi.org/10.1145/3805713.3820435

37: Proposing an Evaluation Framework for Legal Case Retrieval Beyond Binary Relevance: A Bibliographic Coupling Approach
Atsuhito Sekiguchi, Masaharu Yoshioka, Calum Kwan
DOI: https://doi.org/10.1145/3805713.3820412

38: Equity by Design? On the Trade-Offs in Fairness-Driven Recommendation in Heterogeneous Two-Sided Markets
Dominykas Seputis, Rajeev Verma, Alexander Timans
DOI: https://doi.org/10.1145/3805713.3820413

39: Effectiveness of Sparse Retrieval for Automated Fact-Checking
Ritvik Setty, Vinay Setty
DOI: https://doi.org/10.1145/3805713.3820434

40: A Design Science Framework for Human-Agent Teams in Information Retrieval
Chirag Shah, Lynda Tamine, Mouly Dewan
DOI: https://doi.org/10.1145/3805713.3820408

41: Search Arena Meets Nuggets: Towards Explanations and Diagnostics in the Evaluation of LLM Responses
Sahel Sharifymoghaddam, Shivani Upadhyay, Nandan Thakur, Ronak Pradeep, Jimmy Lin
DOI: https://doi.org/10.1145/3805713.3820418

42: Prior-Data Fitted Networks as Tabular Foundation Models for Ranking in Low-Data Settings
David Vos, Samarth Bhargav, Maarten de Rijke, Harrie Oosterhuis
DOI: https://doi.org/10.1145/3805713.3820419

43: As We May Search
Saber Zerhoudi, Adam Roegiest, Jelena Mitrović, Michael Granitzer
DOI: https://doi.org/10.1145/3805713.3820402

44: Patent Representation Learning via Self-supervision
You Zuo, Kim Gerdes, Éric Villemonte de la Clergerie, Benoît Sagot
DOI: https://doi.org/10.1145/3805713.3820439



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