Cover Image

D4R -- Exploring and Querying Relational Graphs Using Natural Language and Large Language Models -- the Case of Historical Documents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Boeglin, Michel, Kahn, David, Mothe, Josiane, Ortiz, Diego, Panzoli, David
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence Computation and Language Machine Learning H.3; H.3.3; I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adapting PromptORE for Modern History: Information Extraction from Hispanic Monarchy Documents of the XVIth Century
by: Hidalgo, Hèctor Loopez, et al.
Published: (2024)

Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing
by: Chifu, Adrian-Gabriel, et al.
Published: (2025)

Selective Query Processing: a Risk-Sensitive Selection of System Configurations
by: Mothe, Josiane, et al.
Published: (2023)

Exploring Information Retrieval Landscapes: An Investigation of a Novel Evaluation Techniques and Comparative Document Splitting Methods
by: Narimissa, Esmaeil, et al.
Published: (2024)

Query-Centric Graph Retrieval Augmented Generation
by: Wu, Yaxiong, et al.
Published: (2025)

A Case Study of Balanced Query Recommendation on Wikipedia
by: Mishra, Harshit, et al.
Published: (2025)

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs
by: Koutsiaris, Christos
Published: (2026)

Graph-GRPO: Dependency-Aware Credit Assignment for Generative E-commerce Search Relevance
by: Che, Jiarui, et al.
Published: (2026)

Generative Query Reformulation Using Ensemble Prompting, Document Fusion, and Relevance Feedback
by: Dhole, Kaustubh D., et al.
Published: (2024)

MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits
by: Xiang, Yixin, et al.
Published: (2026)

The Case for Intent-Based Query Rewriting
by: Nicolai, Gianna Lisa, et al.
Published: (2025)

Diversification as Risk Minimization
by: Takehi, Rikiya, et al.
Published: (2025)

From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms
by: Kai, Zhang, et al.
Published: (2026)

Exploring new Approaches for Information Retrieval through Natural Language Processing
by: Raj, Manak, et al.
Published: (2025)

VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion
by: Guo, David, et al.
Published: (2025)

MasterSet: A Large-Scale Benchmark for Must-Cite Citation Recommendation in the AI/ML Literature
by: Ratul, Md Toyaha Rahman, et al.
Published: (2026)

BridgeRAG: Training-Free Bridge-Conditioned Retrieval for Multi-Hop Question Answering
by: Bacellar, Andre
Published: (2026)

Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
by: Iana, Andreea, et al.
Published: (2023)

Session Context Embedding for Intent Understanding in Product Search
by: Mehrdad, Navid, et al.
Published: (2024)

Scaling Multilingual Semantic Search in Uber Eats Delivery
by: Ling, Bo, et al.
Published: (2026)

Does UMBRELA Work on Other LLMs?
by: Farzi, Naghmeh, et al.
Published: (2025)

Algorithmic Trust and Compliance: Benchmarking Brand Notability for UK iGaming Entities in Generative Search Engines
by: Oruesagasti, Julen
Published: (2026)

Criteria-Based LLM Relevance Judgments
by: Farzi, Naghmeh, et al.
Published: (2025)

Optimizing open-domain question answering with graph-based retrieval augmented generation
by: Cahoon, Joyce, et al.
Published: (2025)

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints
by: Liu, Jianan, et al.
Published: (2026)

A Chain-of-Thought Approach to Semantic Query Categorization in e-Commerce Taxonomies
by: Duraj, Jetlir, et al.
Published: (2026)

Large Language Models for Relevance Judgment in Product Search
by: Mehrdad, Navid, et al.
Published: (2024)

Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales
by: Godfrey, Charles, et al.
Published: (2025)

Evaluating the Effectiveness of Large Language Models in Automated News Article Summarization
by: Houamegni, Lionel Richy Panlap, et al.
Published: (2025)

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models
by: Hu, Zhibo, et al.
Published: (2024)

Can we predict QPP? An approach based on multivariate outliers
by: Chifu, Adrian-Gabriel, et al.
Published: (2024)

Less LLM, More Documents: Searching for Improved RAG
by: Ning, Jingjie, et al.
Published: (2025)

AuthorityBench: Benchmarking LLM Authority Perception for Reliable Retrieval-Augmented Generation
by: Yao, Zhihui, et al.
Published: (2026)

MLDocRAG: Multimodal Long-Context Document Retrieval Augmented Generation
by: Zhang, Yongyue, et al.
Published: (2026)

SGMem: Sentence Graph Memory for Long-Term Conversational Agents
by: Wu, Yaxiong, et al.
Published: (2025)

From Local to Global: A Graph RAG Approach to Query-Focused Summarization
by: Edge, Darren, et al.
Published: (2024)

Expanding Relevance Judgments for Medical Case-based Retrieval Task with Multimodal LLMs
by: Pires, Catarina, et al.
Published: (2025)

The Reasoning Bottleneck in Graph-RAG: Structured Prompting and Context Compression for Multi-Hop QA
by: Zarrinkia, Yasaman, et al.
Published: (2026)

Temporal Leakage in Search-Engine Date-Filtered Web Retrieval: A Retrospective Forecasting Case Study
by: Lahib, Ali El, et al.
Published: (2026)

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks
by: Böckling, Martin, et al.
Published: (2025)