Generating Search Explanations using Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Laksito, Arif, Stevenson, Mark
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models
by: Hasami, Arjan, et al.
Published: (2025)

DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level
by: Gao, Shen, et al.
Published: (2024)

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

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

Counterfactual Editing for Search Result Explanation
by: Xu, Zhichao, et al.
Published: (2023)

A Generalised and Adaptable Reinforcement Learning Stopping Method
by: Bin-Hezam, Reem, et al.
Published: (2025)

RLStop: A Reinforcement Learning Stopping Method for TAR
by: Bin-Hezam, Reem, et al.
Published: (2024)

A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
by: Zhang, Yu, et al.
Published: (2025)

Exploring Human-Like Thinking in Search Simulations with Large Language Models
by: Zhang, Erhan, et al.
Published: (2025)

A Survey of Generative Search and Recommendation in the Era of Large Language Models
by: Li, Yongqi, et al.
Published: (2024)

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
by: Zhang, Sheng, et al.
Published: (2026)

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism
by: Zhou, Yujia, et al.
Published: (2024)

Large Language Model based Long-tail Query Rewriting in Taobao Search
by: Peng, Wenjun, et al.
Published: (2023)

Potential Renovation of Information Search Process with the Power of Large Language Model for Healthcare
by: Emdad, Forhan Bin, et al.
Published: (2024)

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation
by: Acharya, Krishna, et al.
Published: (2025)

General algorithm of assigning raster features to vector maps at any resolution or scale
by: Xu, Nan, et al.
Published: (2024)

LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models
by: Yan, Yang, et al.
Published: (2024)

SPELUNKER: Item Similarity Search Using Large Language Models and Custom K-Nearest Neighbors
by: Rodrigues, Ana, et al.
Published: (2025)

Towards More Relevant Product Search Ranking Via Large Language Models: An Empirical Study
by: Liu, Qi, et al.
Published: (2024)

A Unified Language Model for Large Scale Search, Recommendation, and Reasoning
by: De Nadai, Marco, et al.
Published: (2026)

Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models
by: Shi, Wentao, et al.
Published: (2025)

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
by: Jiang, Pengcheng, et al.
Published: (2025)

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

Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot
by: Cherumanal, Sachin Pathiyan, et al.
Published: (2024)

Large Language Models vs. Search Engines: Evaluating User Preferences Across Varied Information Retrieval Scenarios
by: Caramancion, Kevin Matthe
Published: (2024)

USimAgent: Large Language Models for Simulating Search Users
by: Zhang, Erhan, et al.
Published: (2024)

Improving Pinterest Search Relevance Using Large Language Models
by: Wang, Han, et al.
Published: (2024)

Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
by: Sun, Bangcheng, et al.
Published: (2025)

An Evaluation Framework for Attributed Information Retrieval using Large Language Models
by: Djeddal, Hanane, et al.
Published: (2024)

White Hat Search Engine Optimization using Large Language Models
by: Bardas, Niv, et al.
Published: (2025)

Zero-shot Audio Topic Reranking using Large Language Models
by: Qian, Mengjie, et al.
Published: (2023)

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

ETimeline: An Extensive Timeline Generation Dataset based on Large Language Model
by: Liu, Xiaochen, et al.
Published: (2025)

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

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

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

A Counterfactual Explanation Framework for Retrieval Models
by: Chandna, Bhavik, et al.
Published: (2024)

+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking
by: Deng, Xingyu, et al.
Published: (2025)

The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers
by: Deng, Xingyu, et al.
Published: (2025)

Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model
by: Ganesh, Sai, et al.
Published: (2024)