When LLMs Disagree: Diagnosing Relevance Filtering Bias and Retrieval Divergence in SDG Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ingram, William A., Banerjee, Bipasha, Fox, Edward A.
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence Digital Libraries
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals
by: Ingram, William A., et al.
Published: (2024)

Automating Chapter-Level Classification for Electronic Theses and Dissertations
by: Banerjee, Bipasha, et al.
Published: (2024)

Making History Readable
by: Banerjee, Bipasha, et al.
Published: (2024)

Automating Bibliometric Analysis with Sentence Transformers and Retrieval-Augmented Generation (RAG): A Pilot Study in Semantic and Contextual Search for Customized Literature Characterization for High-Impact Urban Research
by: Xu, Haowen, et al.
Published: (2024)

SHRAG: AFrameworkfor Combining Human-Inspired Search with RAG
by: Ryu, Hyunseok, et al.
Published: (2025)

PubMed and Beyond: Biomedical Literature Search in the Age of Artificial Intelligence
by: Jin, Qiao, et al.
Published: (2023)

Scholarly Wikidata: Population and Exploration of Conference Data in Wikidata using LLMs
by: Mihindukulasooriya, Nandana, et al.
Published: (2024)

Verified Misguidance: Measuring Structural Citation Failures in Search-Augmented LLMs
by: Seo, Yongsik, et al.
Published: (2026)

LitSearch: A Retrieval Benchmark for Scientific Literature Search
by: Ajith, Anirudh, et al.
Published: (2024)

MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
by: Alshammari, Shaden, et al.
Published: (2026)

Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
by: Mekonnen, Kidist Amde, et al.
Published: (2025)

Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base
by: An, Zhiyu, et al.
Published: (2024)

AgentSLR: Automating Systematic Literature Reviews in Epidemiology with Agentic AI
by: Padarha, Shreyansh, et al.
Published: (2026)

iTRI-QA: a Toolset for Customized Question-Answer Dataset Generation Using Language Models for Enhanced Scientific Research
by: Liu, Qiming, et al.
Published: (2025)

Intelligent Knowledge Mining Framework: Bridging AI Analysis and Trustworthy Preservation
by: Vu, Binh
Published: (2025)

A Hybrid AI Methodology for Generating Ontologies of Research Topics from Scientific Paper Corpora
by: Pisu, Alessia, et al.
Published: (2025)

LeMat-Synth: a multi-modal toolbox to curate broad synthesis procedure databases from scientific literature
by: Lederbauer, Magdalena, et al.
Published: (2025)

Patent Novelty Assessment Accelerating Innovation and Patent Prosecution
by: Kashyap, Kapil, et al.
Published: (2025)

Better Recommendations: Validating AI-generated Subject Terms Through LOC Linked Data Service
by: Tang, Kwok Leong, et al.
Published: (2025)

Do Large Language Models Reduce Research Novelty? Evidence from Information Systems Journals
by: Safari, Ali
Published: (2026)

Transcription and Recognition of Italian Parliamentary Speeches Using Vision-Language Models
by: Curini, Luigi, et al.
Published: (2026)

A Generative AI-driven Metadata Modelling Approach
by: Bagchi, Mayukh
Published: (2024)

A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges
by: Salatino, Angelo, et al.
Published: (2024)

Quid est VERITAS? A Modular Framework for Archival Document Analysis
by: Bassanini, Leonardo, et al.
Published: (2026)

An Experiment with the Use of ChatGPT for LCSH Subject Assignment on Electronic Theses and Dissertations
by: Chow, Eric H. C., et al.
Published: (2024)

Generative Agents Navigating Digital Libraries
by: Zerhoudi, Saber, et al.
Published: (2026)

Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science
by: Xie, Yutong, et al.
Published: (2024)

Benchmark for Evaluation and Analysis of Citation Recommendation Models
by: Maharjan, Puja
Published: (2024)

Large language models for post-publication research evaluation: Evidence from expert recommendations and citation indicators
by: Wu, Mengjia, et al.
Published: (2026)

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field
by: Aggarwal, Tanay, et al.
Published: (2024)

L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI)
by: Shailendra, Samar, et al.
Published: (2026)

ScienceDB AI: An LLM-Driven Agentic Recommender System for Large-Scale Scientific Data Sharing Services
by: Long, Qingqing, et al.
Published: (2026)

FAIR GPT: A virtual consultant for research data management in ChatGPT
by: Shigapov, Renat, et al.
Published: (2024)

A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges
by: Brown, Andrew, et al.
Published: (2025)

Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models
by: Kelber, Florian, et al.
Published: (2026)

Enhancing Research Idea Generation through Combinatorial Innovation and Multi-Agent Iterative Search Strategies
by: Chen, Shuai, et al.
Published: (2026)

Knowledge Graphs Generation from Cultural Heritage Texts: Combining LLMs and Ontological Engineering for Scholarly Debates
by: Schimmenti, Andrea, et al.
Published: (2025)

Retrieval-Augmented Search for Large-Scale Map Collections with ColPali
by: Mahowald, Jamie, et al.
Published: (2025)

When a Paper Has 1000 Authors: Rethinking Citation Metrics in the Era of LLMs
by: Guo, Weihang, et al.
Published: (2025)

Overhead-free User-side Recommender Systems
by: Sato, Ryoma
Published: (2024)