Cover Image

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kommineni, Vamsi Krishna, König-Ries, Birgitta, Samuel, Sheeba
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence 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

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

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

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)

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

RLM-on-KG: Heuristics First, LLMs When Needed: Adaptive Retrieval Control over Mention Graphs for Scattered Evidence
by: Volpini, Andrea, et al.
Published: (2026)

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

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)

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)

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

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

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

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

Numbers Matter! Bringing Quantity-awareness to Retrieval Systems
by: Almasian, Satya, et al.
Published: (2024)

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

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

Augmented Relevance Datasets with Fine-Tuned Small LLMs
by: Fitte-Rey, Quentin, et al.
Published: (2025)

MeVer at CheckThat! 2026: Cluster-Aware Hard-Negative Mining for Multilingual Scientific-Source Retrieval
by: Bakagianni, Juli, et al.
Published: (2026)

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

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

A Systematic Framework for Enterprise Knowledge Retrieval: Leveraging LLM-Generated Metadata to Enhance RAG Systems
by: Mishra, Pranav Pushkar, et al.
Published: (2025)

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation
by: Severin, Nikita, et al.
Published: (2026)

Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court Citations
by: Ovcharov, Volodymyr
Published: (2026)

BatchBench: Toward a Workload-Aware Benchmark for Autoscaling Policies in Big Data Batch Processing -- A Proposed Framework
by: Budigi, Venkata Krishna Prasanth, et al.
Published: (2026)

AI-Friendly LaTeX: Using LaTeX Code as a Knowledge Source for Retrieval-Augmented Generation
by: Verhoeff, Tom
Published: (2026)

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)

What Matters in LLM-Based Feature Extractor for Recommender? A Systematic Analysis of Prompts, Models, and Adaptation
by: Shi, Kainan, et al.
Published: (2025)

Evaluating Perspectival Biases in Cross-Modal Retrieval
by: Saengsukhiran, Teerapol, et al.
Published: (2025)

Mind the Gap: Aligning Knowledge Bases with User Needs to Enhance Mental Health Retrieval
by: Chan, Amanda, et al.
Published: (2025)

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

Prompt-RAG: Pioneering Vector Embedding-Free Retrieval-Augmented Generation in Niche Domains, Exemplified by Korean Medicine
by: Kang, Bongsu, et al.
Published: (2024)

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models
by: Guo, Dongxin, et al.
Published: (2026)

Benchmarking Retrieval Strategies for Biomedical Retrieval-Augmented Generation: A Controlled Empirical Study
by: Bal, Devi Prasad, et al.
Published: (2026)

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

WisPaper: Your AI Scholar Search Engine
by: Ju, Li, et al.
Published: (2025)