Proceedings of the First Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era (SURGeLLM 2026)

2026-06-25 · Source: Paper Index on ACL Anthology · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Expert, short

Summary

The "Proceedings of the First Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era (SURGeLLM 2026)" compiles research presented at the inaugural SURGeLLM event. Published by the Association for Computational Linguistics in July 2026, these proceedings document the workshop held in San Diego, California, United States. Edited by a team including Vivek Gupta, Kaize Ding, and Yuan Luo, the volume focuses on advancements and challenges related to structured data processing within the context of Large Language Models. It serves as a foundational collection for researchers and practitioners exploring how LLMs can effectively understand, retrieve, and generate structured information. The publication is identified by Anthology ID 2026.surgellm-1.0 and DOI 10.18653/v1/2026.surgellm-1.0, with ISBN 979-8-89176-406-4.

Key takeaway

For researchers and practitioners focused on Large Language Models, you should note the establishment of SURGeLLM 2026 as a dedicated venue. This inaugural workshop signals a growing emphasis on structured understanding, retrieval, and generation within the LLM domain. Consider reviewing its proceedings for foundational research and identifying key contributors in this emerging area.

Topics

• Large Language Models
• Structured Data
• Information Retrieval
• Natural Language Generation
• Workshop Proceedings

Best for: Research Scientist, AI Scientist, NLP Engineer, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Paper Index on ACL Anthology.