:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Huan, Li, Yan-Fu, Xie, Min
Format:	Preprint
Published:	2023
Subjects:	Information Retrieval Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2312.14945
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
by: Sun, Weiwei, et al.
Published: (2023)

Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance
by: Issa, Mohamed, et al.
Published: (2024)

Assessing the Ability of ChatGPT to Screen Articles for Systematic Reviews
by: Syriani, Eugene, et al.
Published: (2023)

Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations
by: Di Palma, Dario, et al.
Published: (2026)

BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
by: Zhiyuli, Aakas, et al.
Published: (2023)

Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
by: Hu, Yibo, et al.
Published: (2023)

Evaluating ChatGPT as a Recommender System: A Rigorous Approach
by: Di Palma, Dario, et al.
Published: (2023)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
by: Zhang, Yabin, et al.
Published: (2024)

Exploring ChatGPT for Next-generation Information Retrieval: Opportunities and Challenges
by: Huang, Yizheng, et al.
Published: (2024)

Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning
by: Liang, Xun, et al.
Published: (2024)

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training
by: Ma, Haokai, et al.
Published: (2025)

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

Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature
by: Klimczak, Jakub, et al.
Published: (2024)

ArXivBench: When You Should Avoid Using ChatGPT for Academic Writing
by: Li, Ning, et al.
Published: (2025)

From Knowledge Generation to Knowledge Verification: Examining the BioMedical Generative Capabilities of ChatGPT
by: Hamed, Ahmed Abdeen, et al.
Published: (2025)

Metamorphic Evaluation of ChatGPT as a Recommender System
by: Khirbat, Madhurima, et al.
Published: (2024)

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
by: Mao, Kelong, et al.
Published: (2024)

Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)

Detection of ChatGPT Fake Science with the xFakeSci Learning Algorithm
by: Hamed, Ahmed Abdeen, et al.
Published: (2023)

Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
by: Zhao, Qian, et al.
Published: (2024)

Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering
by: Zhu, Yihua, et al.
Published: (2025)

Information Needs and Practices Supported by ChatGPT
by: Gorichanaz, Tim
Published: (2025)

ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback
by: Spurlock, Kyle Dylan, et al.
Published: (2024)

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

Generative Multi-Modal Knowledge Retrieval with Large Language Models
by: Long, Xinwei, et al.
Published: (2024)

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

CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
by: Gu, Jawook, et al.
Published: (2024)

Extending ChatGPT with a Browserless System for Web Product Price Extraction
by: Lloret-Gazo, Jorge
Published: (2025)

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
by: Ren, Ruiyang, et al.
Published: (2023)

Ontology-Based Knowledge Graph Framework for Industrial Standard Documents via Hierarchical and Propositional Structuring
by: Park, Jiin, et al.
Published: (2025)

A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look
by: Upadhyay, Shivani, 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)

Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models
by: Cong, Youan, et al.
Published: (2024)

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

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
by: Xia, Yu, et al.
Published: (2024)

Navigating the Peril of Generated Alternative Facts: A ChatGPT-4 Fabricated Omega Variant Case as a Cautionary Tale in Medical Misinformation
by: Sallam, Malik, et al.
Published: (2024)

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models
by: Jiang, Feihu, et al.
Published: (2024)

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

Query as Anchor: Scenario-Adaptive User Representation via Large Language Model
by: Yuan, Jiahao, et al.
Published: (2026)

Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
by: Steinigen, Daniel, et al.
Published: (2024)