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March 6, 2026ACM SIGIR Forum0 citations

Report on the 18th Round of NII Testbeds and Community for Information Access Research (NTCIR-18)

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CCChung-Chi ChenQAQingyao AiSWShoko Wakamiya

Key Points

  • The report aims to summarize the findings and methodologies of the NTCIR-18, focusing on innovative tasks in information access.
  • Organized seven core tasks and three pilot tasks addressing various aspects of information access.
  • Participated by 113 teams with 178 registrations worldwide.
  • Submissions combined traditional information retrieval approaches with modern LLM techniques.
  • Identified complementary roles of LLM-based and feature-based evaluators.
  • Highlighted trade-offs in fairness-aware ranking methods.
  • Stressed the need for structure-aware strategies for table data retrieval.

Abstract

This event report summarizes the eighteenth round of the NII Testbeds and Community for Information Access Research (NTCIR-18), held on June 10–13, 2025 in Tokyo, Japan. NTCIR-18 organized seven core tasks (AEOLLM, FairWeb-2, FinArg-2, Lifelog-6, MedNLP-CHAT, RadNLP, Transfer-2) and three pilot tasks (HIDDEN-RAD, SUSHI, U4), spanning evaluation of generative LLMs, fair ranking, temporal reasoning in finance, multimodal lifelog retrieval, safety assessment for medical dialogue, bilingual radiology staging, resource transfer for dense retrieval, causal explanation in radiology, search over archival metadata, and table-centric QA over annual reports. Across 178 registrations from 113 teams worldwide, participants submitted runs and analyses that combined traditional IR pipelines with LLM-centric methods. This report outlines each task's motivation, data, and methodology, and summarize key findings, including the complementary roles of LLM-based and feature-based evaluators, trade-offs and mitigations in fairness-aware ranking, the importance of structure-aware approaches for tables, and the persistent challenges of sparse metadata and clinical reasoning. Date: 10–13 June 2025. Website: https://research.nii.ac.jp/ntcir/ntcir-18/.

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Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/69aa70c8531e4c4a9ff5aec1https://doi.org/10.1145/3799914.3799924
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