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title: "Workshop on Multilingual Report Generation via Retrieval"
description: "Workshop on Multilingual Report Generation via Retrieval Augmented Generation 2026 — accepted papers: 2 papers in the Elamur Research…"
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# 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](https://md.research.elamur.ai/free/en/countries/united-states/) · 🗓 July 2026

[**14** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/rag4reports/2026/#works) · [**0** citations of these works](https://md.research.elamur.ai/free/en/venues/rag4reports/2026/#works)

## All accepted papers (14)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. **[ORCHID: Orchestrated Retrieval-Augmented Classification of High-Risk Property with Intelligent Decision-Making ↗](https://aclanthology.org/2026.rag4reports-1.7/)**Sanjay Das, Maria Mahbub, Vanessa Lama et al.*1 citation*
2. **[REFSafE: A RAG-Enabled Framework for Predictive Risk Analysis and Automated Safety Report Generation in Mission-Critical Environments ↗](https://aclanthology.org/2026.rag4reports-1.6/)**Sanjay Das, Ran Elgedawy, Ethan Seefried et al.*1 citation*
3. **[A Pipeline to Bootstrap the Evaluation of Retrieval-Augmented Generation for the Automation of Systematic Reviews in Computer Science ↗](https://aclanthology.org/2026.rag4reports-1.8/)**Pierre Achkar, Tim Gollub, Arno Simons et al.
4. **[A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems ↗](https://aclanthology.org/2026.rag4reports-1.3/)**Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto et al.
5. **[AMU at RAG4Reports 2026 Task B: A Practical Multilingual RAG Pipeline for Citation-Grounded Reports ↗](https://aclanthology.org/2026.rag4reports-1.12/)**Maciej Czajka, Piotr Jabłoński, Mateusz Czajka et al.
6. **[Adapting AutoARGUE for Automatic Report Evaluation under Missing Citation Annotations ↗](https://aclanthology.org/2026.rag4reports-1.15/)**Divrose Kaur, Jatin Bedi, Jasmeet Singh
7. **[Crucible @ Rag4Reports: Generating Nuggets for Report Generation and Evaluation ↗](https://aclanthology.org/2026.rag4reports-1.10/)**Laura Dietz, Eugene Yang
8. **[Decompose, Retrieve, Cite: A RAG Pipeline for Structured Report Generation from Technical Documentation ↗](https://aclanthology.org/2026.rag4reports-1.4/)**Himanshu Dhurve, Sreedath Panat, Rajat Dandekar et al.
9. **[EFSG: Evidence-First Structured Generation for Multilingual RAG Report Generation ↗](https://aclanthology.org/2026.rag4reports-1.14/)**Shaurya Gupta, Jatin Bedi
10. **[EncouRAGe: Evaluating RAG Local, Reliable, and Efficient](https://md.research.elamur.ai/free/en/papers/strich-2026-encourage-evaluating-rag-local-reliable/)**Jan Strich, Martin Semmann, Chris Biemann*our summary*
11. **[Exploring Capability Thresholds in Ultra-Lightweight LLM Judges for Nugget-Based Report Evaluation ↗](https://aclanthology.org/2026.rag4reports-1.13/)**Mann Bajpai, Pulkit Chatwal, Priyanshu Deswal et al.
12. **[GenAIus at RAG4Reports 2026: Citation-Aware Compression for Multilingual Report Generation ↗](https://aclanthology.org/2026.rag4reports-1.11/)**Reyyan Yeniterzi, Suveyda Yeniterzi
13. **[JU-NLP-PG at RAG4Reports 2026: Memory-Efficient Multilingual Report Generation with 4-bit Quantized LLMs ↗](https://aclanthology.org/2026.rag4reports-1.16/)**Swayam Chatterjee, Dipankar Das
14. **[UNH @ Rag4Reports: A Broad Exploration of LLM-Judges for RAG](https://md.research.elamur.ai/free/en/papers/tran-2026-unh-rag4reports-broad-exploration-llm/)**Minna Tran, Ryan McCarthy, Aiden Parsons et al.*our summary*

## Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. **[EncouRAGe: Evaluating RAG Local, Reliable, and Efficient](https://md.research.elamur.ai/free/en/papers/strich-2026-encourage-evaluating-rag-local-reliable/) [Workshop on Multilingual Report Generation via Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/venues/rag4reports/)**Jan Strich, Martin Semmann, Chris Biemann*2026*
2. **[UNH @ Rag4Reports: A Broad Exploration of LLM-Judges for RAG](https://md.research.elamur.ai/free/en/papers/tran-2026-unh-rag4reports-broad-exploration-llm/) [Workshop on Multilingual Report Generation via Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/venues/rag4reports/)**Minna Tran, Ryan McCarthy, Aiden Parsons, et al.*2026*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/)

## Fields

[Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Chris Biemann**1 work here](https://md.research.elamur.ai/free/en/authors/chris-biemann/) · [🧑‍🔬**Jan Strich**1 work here](https://md.research.elamur.ai/free/en/authors/jan-strich/) · [🧑‍🔬**Martin Semmann**1 work here](https://md.research.elamur.ai/free/en/authors/martin-semmann/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Universität Hamburg** Hamburg · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/universitat-hamburg/) · [🎓**University of New Hampshire** Durham · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-new-hampshire/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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