:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Oestreich, Julian, Müller, Lydia
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Information Retrieval
Online Access:	https://arxiv.org/abs/2508.15910
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation
by: Salemi, Alireza, et al.
Published: (2025)

StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation
by: Kashyap, Satyananda, et al.
Published: (2025)

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
by: Yoon, Se-eun, et al.
Published: (2024)

SPIRE: Structure-Preserving Interpretable Retrieval of Evidence
by: Rainey, Mike, et al.
Published: (2026)

CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs
by: Keerthana, Garapati, et al.
Published: (2025)

CORE-T: COherent REtrieval of Tables for Text-to-SQL
by: Soliman, Hassan, et al.
Published: (2026)

Retrieval-Augmented Generation by Evidence Retroactivity in LLMs
by: Xiao, Liang, et al.
Published: (2025)

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding
by: Jivani, Smit, et al.
Published: (2026)

SCARV: Structure-Constrained Aggregation for Stable Sample Ranking in Redundant NLP Datasets
by: Zheng, Xu, et al.
Published: (2026)

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
by: Mo, Fengran, et al.
Published: (2026)

Query Augmentation by Decoding Semantics from Brain Signals
by: Ye, Ziyi, et al.
Published: (2024)

Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine
by: Dou, Chengfeng, et al.
Published: (2025)

Bagging-Based Model Merging for Robust General Text Embeddings
by: Zhang, Hengran, et al.
Published: (2026)

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text
by: He, Weiqing, et al.
Published: (2024)

CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts
by: Opitz, Juri, et al.
Published: (2026)

SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decoding
by: Lee, Jaebok, et al.
Published: (2024)

RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
by: Guo, Yucan, et al.
Published: (2025)

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
by: Salemi, Alireza, et al.
Published: (2025)

A Survey on Retrieval-Augmented Text Generation for Large Language Models
by: Huang, Yizheng, et al.
Published: (2024)

LongRecall: A Structured Approach for Robust Recall Evaluation in Long-Form Text
by: Ardestani, MohamamdJavad, et al.
Published: (2025)

ScrapeGraphAI-100k: Dataset for Schema-Constrained LLM Generation
by: Brach, William, et al.
Published: (2026)

Pctx: Tokenizing Personalized Context for Generative Recommendation
by: Zhong, Qiyong, et al.
Published: (2025)

Text-to-SQL Oriented to the Process Mining Domain: A PT-EN Dataset for Query Translation
by: Yamate, Bruno Yui, et al.
Published: (2025)

RDF-Based Structured Quality Assessment Representation of Multilingual LLM Evaluations
by: Gwozdz, Jonas, et al.
Published: (2025)

HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies
by: Watson, William, et al.
Published: (2024)

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
by: Li, Xiaoxi, et al.
Published: (2024)

Interpretable Text Embeddings and Text Similarity Explanation: A Survey
by: Opitz, Juri, et al.
Published: (2025)

EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records
by: Ryu, Jaehee, et al.
Published: (2024)

Auto-ARGUE: LLM-Based Report Generation Evaluation
by: Walden, William, et al.
Published: (2025)

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
by: Weller, Orion, et al.
Published: (2023)

Paper2SysArch: Structure-Constrained System Architecture Generation from Scientific Papers
by: Guo, Ziyi, et al.
Published: (2025)

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions
by: Hu, Xuming, et al.
Published: (2024)

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
by: Saad-Falcon, Jon, et al.
Published: (2023)

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
by: Sui, Yuan, et al.
Published: (2023)

Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
by: Merola, Carlo, et al.
Published: (2025)

SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation
by: Su, Weihang, et al.
Published: (2025)

Grounding Large Language Models in Clinical Evidence: A Retrieval-Augmented Generation System for Querying UK NICE Clinical Guidelines
by: Lewis, Matthew, et al.
Published: (2025)

DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Completion
by: Mehta, Rahul, et al.
Published: (2026)

Benchmarking Information Retrieval Models on Complex Retrieval Tasks
by: Killingback, Julian, et al.
Published: (2025)

AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMs
by: Siro, Clemencia, et al.
Published: (2024)