ACM ICTIR 2024 - The 10th ACM SIGIR International Conference on the Theory of Information Retrieval
ACM ICTIR 2024 was held in Washington D.C on July 13th and co-located with the ACM SIGIR 2024 conference.
The conference includes presentations of 26 original research papers on the theoretical aspects of information retrieval and a keynote presentation by Minmin Chen from Google DeepMind.
More information at https://www.ictir2024.org/
Chapters:
00:00:00 - Conference Opening Session
00:15:23 - Keynote by Minmin Chen: Exploration: Measurements and Systems
01:13:33 - First Paper Session
01:13:35 - Evaluation of Temporal Change in IR Test Collections - Jüri Keller
01:22:41 - Coherence-based Query Performance Measures for Dense Retrieval -Maria Vlachou
01:31:37 - The Impacts of Data, Ordering, and Intrinsic Dimensionality on Recall in Hierarchical Navigable Small Worlds - Owen Pendrigh Elliott
01:39:13 - Query Variability and Experimental Consistency: A Concerning Case Study - Alistair Moffat
01:51:03 - Normalised Precision at Fixed Recall for Evaluating TAR - Moritz Staudinger
01:58:28 - Second Paper Session
01:58:51 - Distillation vs. Sampling for Efficient Training of Learning to Rank Models - Pooya Khandel
02:10:08 - Ranking-Incentivized Document Manipulations for Multiple Queries - Haya Nachimovsky
02:19:25 - Learning to Rank for Non Independent and Identically Distributed Datasets - Jacopo Cecchetti
02:27:33 - On Adaptive Knowledge Distillation with Generalized KL-Divergence Loss for Ranking Model Refinement - Yingrui Yang
02:37:18 - Scalable Range Search over Temporal and Numerical Expressions - Dhruv Gupta
02:46:21 - CrossMath: Towards Cross-lingual Math Information Retrieval - Behrooz Mansouri
02:56:04 - Personalized Beyond-accuracy Calibration in Recommendation - Mohammadmehdi Naghiaei
03:05:04 - Target Span Detection for Implicit Harmful Content - Nazanin Jafari
03:13:37 - Towards Group-aware Search Success - Haolun Wu
03:23:56 - Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders - Mathias Vast
03:33:48 - CFE2: Counterfactual Editing for Search Result Explanation - Zhichao Xu
03:43:06 - Third Paper Session
03:43:09 - The Art of Asking: Prompting Large Language Models for Serendipity Recommendations - Zhe Fu
03:52:13 - Sponsored Question Answering - Tommy Mordo
03:59:53 - Pencils Down! Automatic Rubric-based Evaluation of Retrieve/Generate Systems - Naghmeh Farzi
04:08:18 - Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access - Nolwenn Bernard
04:17:37 - Retrieval Augmented Zero-Shot Text Classification - Tassallah Abdullahi
04:25:44 - A Quantum Annealing Instance Selection Approach for Efficient and Effective Transformer Fine-Tuning - Andrea Pasin
04:35:13 - Capturing the Spectrum of Social Media Conflict: A Novel Multi-objective Classification Model - Oliver Warke
04:42:33 - Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics - Ben Wang
04:56:26 - Online Paper Session
04:56:28 - Pb-Hash: Partitioned b-bit Hashing - Ping Li
05:05:28 - An Analysis of Stopping Strategies in Conversational Search Systems - Xiao Fu
05:15:17 - Conference Closing Session
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