Workshop on Multilingual Report Generation via Retrieval Augmented Generation 2026 — accepted papers
Workshop on Multilingual Report Generation via Retrieval Augmented Generation 2026 is the 2026 edition of the Workshop on Multilingual Report Generation via Retrieval Augmented Generation, held in San Diego, CA, USA, July 2026 (publisher: Association for Computational Linguistics). The ACL Anthology lists 14 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 San Diego, CA, United States · 🗓 July 2026
All accepted papers (14)
- ORCHID: Orchestrated Retrieval-Augmented Classification of High-Risk Property with Intelligent Decision-Making ↗Sanjay Das, Maria Mahbub, Vanessa Lama et al.1 citation
- REFSafE: A RAG-Enabled Framework for Predictive Risk Analysis and Automated Safety Report Generation in Mission-Critical Environments ↗Sanjay Das, Ran Elgedawy, Ethan Seefried et al.1 citation
- A Pipeline to Bootstrap the Evaluation of Retrieval-Augmented Generation for the Automation of Systematic Reviews in Computer Science ↗Pierre Achkar, Tim Gollub, Arno Simons et al.
- A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems ↗Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto et al.
- AMU at RAG4Reports 2026 Task B: A Practical Multilingual RAG Pipeline for Citation-Grounded Reports ↗Maciej Czajka, Piotr Jabłoński, Mateusz Czajka et al.
- Adapting AutoARGUE for Automatic Report Evaluation under Missing Citation Annotations ↗Divrose Kaur, Jatin Bedi, Jasmeet Singh
- Crucible @ Rag4Reports: Generating Nuggets for Report Generation and Evaluation ↗Laura Dietz, Eugene Yang
- Decompose, Retrieve, Cite: A RAG Pipeline for Structured Report Generation from Technical Documentation ↗Himanshu Dhurve, Sreedath Panat, Rajat Dandekar et al.
- EFSG: Evidence-First Structured Generation for Multilingual RAG Report Generation ↗Shaurya Gupta, Jatin Bedi
- EncouRAGe: Evaluating RAG Local, Reliable, and EfficientJan Strich, Martin Semmann, Chris Biemannour summary
- Exploring Capability Thresholds in Ultra-Lightweight LLM Judges for Nugget-Based Report Evaluation ↗Mann Bajpai, Pulkit Chatwal, Priyanshu Deswal et al.
- GenAIus at RAG4Reports 2026: Citation-Aware Compression for Multilingual Report Generation ↗Reyyan Yeniterzi, Suveyda Yeniterzi
- JU-NLP-PG at RAG4Reports 2026: Memory-Efficient Multilingual Report Generation with 4-bit Quantized LLMs ↗Swayam Chatterjee, Dipankar Das
- UNH @ Rag4Reports: A Broad Exploration of LLM-Judges for RAGMinna Tran, Ryan McCarthy, Aiden Parsons et al.our summary
Papers with our summary in our library (2)
- EncouRAGe: Evaluating RAG Local, Reliable, and EfficientWorkshop on Multilingual Report Generation via Retrieval Augmented GenerationJan Strich, Martin Semmann, Chris Biemann2026
- UNH @ Rag4Reports: A Broad Exploration of LLM-Judges for RAGWorkshop on Multilingual Report Generation via Retrieval Augmented GenerationMinna Tran, Ryan McCarthy, Aiden Parsons, et al.2026
Top topics
Language models & pretraining (1)
Fields
Arts and Humanities (2)Computer Science (2)Social Sciences (1)
Top authors
Top institutions
🎓Universität HamburgHamburg ·
Germany1 work here🎓University of New HampshireDurham ·
United States1 work here
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