Buchumschlag

ETimeline: An Extensive Timeline Generation Dataset based on Large Language Model

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Liu, Xiaochen, Zhang, Yanan
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Information Retrieval
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

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

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
von: Vats, Arpita, et al.
Veröffentlicht: (2024)

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

Sequential Recommendation with Latent Relations based on Large Language Model
von: Yang, Shenghao, et al.
Veröffentlicht: (2024)

Order-agnostic Identifier for Large Language Model-based Generative Recommendation
von: Lin, Xinyu, et al.
Veröffentlicht: (2025)

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
von: Yang, Shenghao, et al.
Veröffentlicht: (2024)

Retrieval-in-the-Chain: Bootstrapping Large Language Models for Generative Retrieval
von: Zhang, Yingchen, et al.
Veröffentlicht: (2025)

Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models
von: Hayashi, Teruaki, et al.
Veröffentlicht: (2024)

Exact and Efficient Unlearning for Large Language Model-based Recommendation
von: Hu, Zhiyu, et al.
Veröffentlicht: (2024)

TF-DCon: Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation
von: Wu, Jiahao, et al.
Veröffentlicht: (2023)

ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations
von: Liu, Zekun, et al.
Veröffentlicht: (2025)

Who's important? -- SUnSET: Synergistic Understanding of Stakeholder, Events and Time for Timeline Generation
von: Sim, Tiviatis, et al.
Veröffentlicht: (2025)

SoK: Timeline based event reconstruction for digital forensics: Terminology, methodology, and current challenges
von: Breitinger, Frank, et al.
Veröffentlicht: (2025)

Item-side Fairness of Large Language Model-based Recommendation System
von: Jiang, Meng, et al.
Veröffentlicht: (2024)

Generating Search Explanations using Large Language Models
von: Laksito, Arif, et al.
Veröffentlicht: (2025)

AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models
von: Mansi, et al.
Veröffentlicht: (2024)

Automating Financial Statement Audits with Large Language Models
von: Wang, Rushi, et al.
Veröffentlicht: (2025)

Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
von: Feng, Kaidong, et al.
Veröffentlicht: (2025)

CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers
von: Liu, Javin, et al.
Veröffentlicht: (2025)

Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented Generation
von: Wang, Haijin, et al.
Veröffentlicht: (2024)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
von: Shi, Tianhao, et al.
Veröffentlicht: (2023)

PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
von: Liu, Yu, et al.
Veröffentlicht: (2025)

Efficient Inference for Large Language Model-based Generative Recommendation
von: Lin, Xinyu, et al.
Veröffentlicht: (2024)

Watermarking Large Language Model-based Time Series Forecasting
von: Yuan, Wei, et al.
Veröffentlicht: (2025)

DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models
von: Su, Weihang, et al.
Veröffentlicht: (2024)

Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription
von: Zhao, Zihao, et al.
Veröffentlicht: (2025)

Reading Between the Timelines: RAG for Answering Diachronic Questions
von: Lau, Kwun Hang, et al.
Veröffentlicht: (2025)

Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
von: Li, Jin, et al.
Veröffentlicht: (2026)

Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation
von: Xu, Cong, et al.
Veröffentlicht: (2024)

Are Large Language Models Good at Utility Judgments?
von: Zhang, Hengran, et al.
Veröffentlicht: (2024)

HierLLM: Hierarchical Large Language Model for Question Recommendation
von: Liu, Yuxuan, et al.
Veröffentlicht: (2024)

Intent Representation Learning with Large Language Model for Recommendation
von: Wang, Yu, et al.
Veröffentlicht: (2025)

Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
von: Zhu, Yaochen, et al.
Veröffentlicht: (2025)

A Reproducibility and Generalizability Study of Large Language Models for Query Generation
von: Staudinger, Moritz, et al.
Veröffentlicht: (2024)

Leveraging Large Language Models for Medical Information Extraction and Query Generation
von: Peikos, Georgios, et al.
Veröffentlicht: (2024)

Zero-Indexing Internet Search Augmented Generation for Large Language Models
von: He, Guangxin, et al.
Veröffentlicht: (2024)

Data Fusion of Synthetic Query Variants With Generative Large Language Models
von: Breuer, Timo
Veröffentlicht: (2024)

Fine-grained Semantics Integration for Large Language Model-based Recommendation
von: Feng, Jiawei, et al.
Veröffentlicht: (2026)

Coherency Improved Explainable Recommendation via Large Language Model
von: Liu, Shijie, et al.
Veröffentlicht: (2025)

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
von: Luo, Sichun, et al.
Veröffentlicht: (2025)