CFP: Special Issue - Large Language Models as Evaluators in Computing: Opportunities, Challenges, and Future Directions
Submission deadline
31 July 2026
Submission deadline
31 July 2026
WSDM Cup 2026 - Multilingual Retrieval
CALL FOR PARTICIPATION
Dear Research Community,
Bloomberg is pleased to announce the 2026-2027 edition of the Bloomberg Data Science Ph.D. Fellowship Program (https://www.techatbloomberg.com/bloomberg-data-science-ph-d-fellowship/), a premier initiative supporting outstanding Ph.D. students advancing the frontiers of data science, AI and their applications.
This workshop aims to advance the frontier of information retrieval systems that can reason over complex queries, follow tailored instructions, and demonstrate robustness and effectiveness across domain-specific and multimodal content. Recent progress in foundation models—such as large language models (LLMs), large diffusion models, and large multimodal models—has created exciting opportunities for advancing ranking and reranking approaches. Effectively harnessing their rich semantics, vast knowledge, and powerful reasoning abilities is now a key challenge and opportunity for the field.
We are delighted to announce *SemEval 2026 Task 4: Narrative Story Similarity and Narrative Representation Learning*.
In the shared task SemEval-2026 Task 4: Narrative Story Similarity and Narrative Representation Learning, you (or rather your systems) are asked to identify narratively similar stories. We define narrative similarity by three core similarity components: the abstract theme, the course of action, and the outcomes of a story.
***Call for Papers WASP @ IJCNLP-AACL 2025***
The 30th International Conference on Natural Language & Information Systems (NLDB 2025)
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Conference Website
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https://www.jaist.ac.jp/event/nldb2025
Dates and Venue
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4-6 July 2025
Kanazawa Chamber of Commerce and Industry
9-13 Oyamamachi, Kanazawa, Ishikawa 920-0918, Japan
* Call for Papers *
* IRRJ: Information Retrieval Research Journal *
Inaugural issue, to be published end of 2024
https://irrj.org
To bring the attention of the research community to the limitations of current models at recognizing and characterizing AI vs. human authors, we propose to organize the first edition of IACT workshops under the umbrella of the SIGIR conference. Research works submitted to the workshop should foster scientific advances in all aspects of author characterization.
Call for Poster/Paper Presentations – SCAI: Search-Oriented Conversational AI
Important dates