Cover Image

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Garcia, Fernando Gabriela, Burns, Spencer, Fuller, Harrison
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
by: Zhang, Chiyu, et al.
Published: (2024)

Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search
by: Xiong, Zeyu, et al.
Published: (2025)

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search
by: Wang, Mingyue, et al.
Published: (2026)

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
by: Liu, Qi, et al.
Published: (2024)

Summarization-Based Document IDs for Generative Retrieval with Language Models
by: Li, Haoxin, et al.
Published: (2023)

Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models
by: Zhang, Weijia, et al.
Published: (2024)

Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
by: Hsu, Enshuo, et al.
Published: (2024)

SciDef: Automating Definition Extraction from Academic Literature with Large Language Models
by: Kučera, Filip, et al.
Published: (2026)

Leveraging Hierarchical Organization for Medical Multi-document Summarization
by: Hsu, Yi-Li, et al.
Published: (2025)

Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
by: Trieu, Hoang-An, et al.
Published: (2025)

iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models
by: Lairgi, Yassir, et al.
Published: (2024)

An Open-Source Web-Based Tool for Evaluating Open-Source Large Language Models Leveraging Information Retrieval from Custom Documents
by: I, Godfrey
Published: (2025)

Long Dialog Summarization: An Analysis
by: Mullick, Ankan, et al.
Published: (2024)

Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis
by: Ahad, Jawad Ibn, et al.
Published: (2024)

Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
by: Kachuee, Mohammad, et al.
Published: (2024)

Validation of the Scientific Literature via Chemputation Augmented by Large Language Models
by: Pagel, Sebastian, et al.
Published: (2024)

Survey of Query-based Text Summarization
by: Yu, Hang, et al.
Published: (2022)

Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
by: Liu, Tong, et al.
Published: (2024)

Improving Topic Relevance Model by Mix-structured Summarization and LLM-based Data Augmentation
by: Liu, Yizhu, et al.
Published: (2024)

On The Persona-based Summarization of Domain-Specific Documents
by: Mullick, Ankan, et al.
Published: (2024)

Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization
by: Mullick, Ankan, et al.
Published: (2024)

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
by: Xie, Yuzhang, et al.
Published: (2024)

Leveraging Large Language Models for Generating Labeled Mineral Site Record Linkage Data
by: Pyo, Jiyoon, et al.
Published: (2024)

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
by: Fan, Yuxin, et al.
Published: (2025)

Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study
by: Tong, Xu, et al.
Published: (2024)

Graph Fusion Across Languages using Large Language Models
by: Kyaw, Kaung Myat, et al.
Published: (2026)

Hybrid Retrieval for COVID-19 Literature: Comparing Rank Fusion and Projection Fusion with Diversity Reranking
by: Prajapati, Harishkumar Kishorkumar
Published: (2026)

Decomposed Opinion Summarization with Verified Aspect-Aware Modules
by: Li, Miao, et al.
Published: (2025)

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
by: Jeong, Minbyul, et al.
Published: (2024)

Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)

Large Language Models as Evaluators for Recommendation Explanations
by: Zhang, Xiaoyu, et al.
Published: (2024)

Enhance Graph Alignment for Large Language Models
by: Luo, Haitong, et al.
Published: (2024)

Hallucination Detection and Evaluation of Large Language Model
by: Zhang, Chenggong, et al.
Published: (2025)

Improving Text Embeddings with Large Language Models
by: Wang, Liang, et al.
Published: (2023)

Context-aware Decoding Reduces Hallucination in Query-focused Summarization
by: Xu, Zhichao
Published: (2023)

Unstructured Evidence Attribution for Long Context Query Focused Summarization
by: Wright, Dustin, et al.
Published: (2025)

Large Language Models for Stemming: Promises, Pitfalls and Failures
by: Wang, Shuai, et al.
Published: (2024)

Self-Calibrated Listwise Reranking with Large Language Models
by: Ren, Ruiyang, et al.
Published: (2024)

Mitigating Entity-Level Hallucination in Large Language Models
by: Su, Weihang, et al.
Published: (2024)

Corpus-Steered Query Expansion with Large Language Models
by: Lei, Yibin, et al.
Published: (2024)