Multilingual RAG

RAG: Retrieval-Augmented Generation

Follow this topic Ask about this topic

Latest papers

12 papers1 paper in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Reading Beyond OCR Noise: Robust Cross-Lingual RAG for Legislative Archives
Oct 26, 2026Radha Krishna Deshpande, Ajoy Mondal, Akash Manna +1Multilingual RAG Historical Document Processing
CVIT, International Institute of Information Technology, Hyderabad, India
Better Decomposition, Free Aggregation: A Synthesizer-Folding Framework for Multilingual Multi-Hop Question Answering
Aug 13, 2026Yilin Wang, Yuchun Fan, Weidong Bao +5Multi-Hop QA Multilingual RAG
School of Computer Science and Engineering, Northeastern University, Shenyang, China · Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China
Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG
Jul 3, 2026Haotian Zhou, Weiran Huang, Siqi Liu +3RL for Language Models Multilingual RAG
School of Computer Science, Shanghai Jiao Tong University · Ant International, Ant Group · Shanghai Innovation Institute +1
X-MADAM-RAG: Diagnosing and Handling Chinese-English Evidence Conflict in Retrieval-Augmented Generation
Jun 11, 2026Yongqi Kang, Yu Fu, Yong ZhaoMultilingual RAG Retrieval-Augmented Generation
Sichuan University, Chengdu, China
CORAL: Adaptive Retrieval Loop for Culturally-Aligned Multilingual RAG
Apr 28, 2026Nayeon Lee, Jiwoo Song, Byeongcheol KangAgentic RAG Retrieval-Augmented Generation
Naver · Samsung Research
CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation
Apr 28, 2026Rui Qi, Fengran Mo, Sijin Lu +3Multilingual RAG Retrieval-Augmented Generation
School of Computer Science and Technology, Beijing Jiaotong University Beijing, China · RALI, Université de Montréal Montréal, Québec, Canada
ORPHEAS: A Cross-Lingual Greek-English Embedding Model for Retrieval-Augmented Generation
Apr 22, 2026Ioannis E. Livieris, Athanasios Koursaris, Alexandra Apostolopoulou +2Retrieval-Augmented Generation Word Embeddings
Novelcore, Athens, GR 10436 · Department of Business Administration & Organization Administration, University of Peloponnese, Kalamata„ GR 24100
All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG
Apr 22, 2026Dan Wang, Guozhao Mo, Yafei Shi +9Multilingual RAG Retrieval-Augmented Generation
Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Sciences · University of Chinese Academy of Sciences · MYbank, AntGroup
DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
Mar 19, 2026Yilin Wang, Yuchun Fan, Jiaoyang Li +5Multilingual RAG Multi-Hop QA
School of Computer Science and Engineering, Northeastern University, Shenyang, China · NiuTrans Research, Shenyang, China
Retrieval or Representation? Reassessing Benchmark Gaps in Multilingual and Visually Rich RAG
Mar 4, 2026Martin Asenov, Kenza Benkirane, Dan Goldwater +1RAG Evaluation Multilingual RAG
Parexel AI Labs London, United Kingdom · Parexel AI Labs San Francisco, United-States
FLANS at SemEval-2026 Task 7: RAG with Open-Sourced Smaller LLMs for Everyday Knowledge Across Diverse Languages and Cultures
Mar 2, 2026Liliia Bogdanova, Shiran Sun, Lifeng Han +2Multilingual QA Multilingual RAG
Insilico Medicine AI Limited · University of Groningen · LIACS, Leiden University +1
MTRACE: Multilingual Retrieval-Augmented Generation for Temporally Diverse Text Corpora
Dec 14, 2025Souhail Bakkali, Anthony MudetMultilingual RAG Retrieval-Augmented Generation
Univ Rennes, CNRS, IRISA - UMR 6074, Rennes, France · L3i-lab, La Rochelle Universit´e, France

Oct 26, 2026J/K move · Enter open · S save

Reading Beyond OCR Noise: Robust Cross-Lingual RAG for Legislative Archives

Radha Krishna Deshpande, Ajoy Mondal, Akash Manna, C V Jawahar

CVIT, International Institute of Information Technology, Hyderabad, India

Multilingual RAG Historical Document Processing RAG Robustness Retrieval-Augmented Generation Document Layout Analysis

Open paper AskPDF arXiv

India's historical public archives present severe computer vision and document image analysis challenges: decades of parliamentary records survive only as degraded, multi-column scanned pages featuring mixed scripts, complex layouts, and dense visual noise where OCR failure is the primary obstacle to information retrieval. We present an end-to-end framework that couples vision-based layout segmentation and multi-script OCR with an agentic retrieval-augmented generation (RAG) pipeline. Our approach specifically addresses how visual degradation and layout fragmentation propagate into text extraction errors, using an iterative agentic loop to navigate around OCR noise and layout ambiguities before generating answers. Evaluated on the 200,000-page Punjab Vidhan Sabha archive, our system demonstrates robust handling of historical document degradation, outperforming standard text-only baselines.