BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
Fuente:
arXiv
Guardado en:
| Autores principales: | Ren, Ruiyang, Qiu, Peng, Qu, Yingqi, Liu, Jing, Zhao, Wayne Xin, Wu, Hua, Wen, Ji-Rong, Wang, Haifeng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
por: Ren, Ruiyang, et al.
Publicado: (2023)
por: Ren, Ruiyang, et al.
Publicado: (2023)
User Behavior Simulation with Large Language Model based Agents
por: Wang, Lei, et al.
Publicado: (2023)
por: Wang, Lei, et al.
Publicado: (2023)
Self-Calibrated Listwise Reranking with Large Language Models
por: Ren, Ruiyang, et al.
Publicado: (2024)
por: Ren, Ruiyang, et al.
Publicado: (2024)
USimAgent: Large Language Models for Simulating Search Users
por: Zhang, Erhan, et al.
Publicado: (2024)
por: Zhang, Erhan, et al.
Publicado: (2024)
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
por: Wang, Yuhao, et al.
Publicado: (2024)
por: Wang, Yuhao, et al.
Publicado: (2024)
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
por: Wang, Xiaolei, et al.
Publicado: (2023)
por: Wang, Xiaolei, et al.
Publicado: (2023)
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
por: Wang, Xiaolei, et al.
Publicado: (2025)
por: Wang, Xiaolei, et al.
Publicado: (2025)
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
por: Zheng, Bowen, et al.
Publicado: (2023)
por: Zheng, Bowen, et al.
Publicado: (2023)
GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction
por: Ou, Kesha, et al.
Publicado: (2026)
por: Ou, Kesha, et al.
Publicado: (2026)
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
por: Xu, Lanling, et al.
Publicado: (2024)
por: Xu, Lanling, et al.
Publicado: (2024)
ULMRec: User-centric Large Language Model for Sequential Recommendation
por: Shao, Minglai, et al.
Publicado: (2024)
por: Shao, Minglai, et al.
Publicado: (2024)
DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation
por: Zheng, Bowen, et al.
Publicado: (2025)
por: Zheng, Bowen, et al.
Publicado: (2025)
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
por: Tian, Zhen, et al.
Publicado: (2024)
por: Tian, Zhen, et al.
Publicado: (2024)
Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
por: Zheng, Bowen, et al.
Publicado: (2024)
por: Zheng, Bowen, et al.
Publicado: (2024)
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
por: Xia, Yu, et al.
Publicado: (2025)
por: Xia, Yu, et al.
Publicado: (2025)
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
por: Zhu, Yutao, et al.
Publicado: (2024)
por: Zhu, Yutao, et al.
Publicado: (2024)
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
por: Chen, Qi, et al.
Publicado: (2024)
por: Chen, Qi, et al.
Publicado: (2024)
Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking
por: Ren, Ruiyang, et al.
Publicado: (2025)
por: Ren, Ruiyang, et al.
Publicado: (2025)
Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
por: Liu, Enze, et al.
Publicado: (2025)
por: Liu, Enze, et al.
Publicado: (2025)
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
por: Sun, Weiwei, et al.
Publicado: (2023)
por: Sun, Weiwei, et al.
Publicado: (2023)
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
por: Sun, Shuang, et al.
Publicado: (2025)
por: Sun, Shuang, et al.
Publicado: (2025)
Towards Completeness-Oriented Tool Retrieval for Large Language Models
por: Qu, Changle, et al.
Publicado: (2024)
por: Qu, Changle, et al.
Publicado: (2024)
ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation
por: Niu, Qingying, et al.
Publicado: (2026)
por: Niu, Qingying, et al.
Publicado: (2026)
Exploring Human-Like Thinking in Search Simulations with Large Language Models
por: Zhang, Erhan, et al.
Publicado: (2025)
por: Zhang, Erhan, et al.
Publicado: (2025)
Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
por: Wanyan, Xinye, et al.
Publicado: (2025)
por: Wanyan, Xinye, et al.
Publicado: (2025)
Large Language Model based Long-tail Query Rewriting in Taobao Search
por: Peng, Wenjun, et al.
Publicado: (2023)
por: Peng, Wenjun, et al.
Publicado: (2023)
Improving Conversational Recommendation Systems via Counterfactual Data Simulation
por: Wang, Xiaolei, et al.
Publicado: (2023)
por: Wang, Xiaolei, et al.
Publicado: (2023)
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
por: Ye, Dezhi, et al.
Publicado: (2024)
por: Ye, Dezhi, et al.
Publicado: (2024)
Large Language Models Empowered Personalized Web Agents
por: Cai, Hongru, et al.
Publicado: (2024)
por: Cai, Hongru, et al.
Publicado: (2024)
HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches
por: Tan, Jiejun, et al.
Publicado: (2025)
por: Tan, Jiejun, et al.
Publicado: (2025)
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
por: Liu, Qi, et al.
Publicado: (2025)
por: Liu, Qi, et al.
Publicado: (2025)
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search
por: Li, Zehan, et al.
Publicado: (2024)
por: Li, Zehan, et al.
Publicado: (2024)
Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models
por: Wanyan, Xinye, et al.
Publicado: (2026)
por: Wanyan, Xinye, et al.
Publicado: (2026)
RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
por: Chen, Tingyu, et al.
Publicado: (2026)
por: Chen, Tingyu, et al.
Publicado: (2026)
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
por: Li, Xiaoxi, et al.
Publicado: (2025)
por: Li, Xiaoxi, et al.
Publicado: (2025)
CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models
por: Gong, Peiyuan, et al.
Publicado: (2024)
por: Gong, Peiyuan, et al.
Publicado: (2024)
Large Language Models vs. Search Engines: Evaluating User Preferences Across Varied Information Retrieval Scenarios
por: Caramancion, Kevin Matthe
Publicado: (2024)
por: Caramancion, Kevin Matthe
Publicado: (2024)
Curriculum-scheduled Knowledge Distillation from Multiple Pre-trained Teachers for Multi-domain Sequential Recommendation
por: Sun, Wenqi, et al.
Publicado: (2024)
por: Sun, Wenqi, et al.
Publicado: (2024)
Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval
por: Sun, Zelong, et al.
Publicado: (2024)
por: Sun, Zelong, et al.
Publicado: (2024)
Harnessing Large Language Models for Group POI Recommendations
por: Long, Jing, et al.
Publicado: (2024)
por: Long, Jing, et al.
Publicado: (2024)
Ejemplares similares
-
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
por: Ren, Ruiyang, et al.
Publicado: (2023) -
User Behavior Simulation with Large Language Model based Agents
por: Wang, Lei, et al.
Publicado: (2023) -
Self-Calibrated Listwise Reranking with Large Language Models
por: Ren, Ruiyang, et al.
Publicado: (2024) -
USimAgent: Large Language Models for Simulating Search Users
por: Zhang, Erhan, et al.
Publicado: (2024) -
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
por: Wang, Yuhao, et al.
Publicado: (2024)