Copertina

Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ji, Luo, Guo, Feixiang, Chen, Teng, Gu, Qingqing, Wang, Xiaoyu, Xi, Ningyuan, Wang, Yihong, Yu, Peng, Zhao, Yue, Lei, Hongyang, Jiang, Zhonglin, Chen, Yong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA
di: Chen, Teng, et al.
Pubblicazione: (2026)

LaMsS: When Large Language Models Meet Self-Skepticism
di: Wu, Yetao, et al.
Pubblicazione: (2024)

Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation
di: Wang, Xiaoyu, et al.
Pubblicazione: (2024)

Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling
di: Zhao, Yue, et al.
Pubblicazione: (2025)

MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning
di: Xi, Ningyuan, et al.
Pubblicazione: (2024)

FiSMiness: A Finite State Machine Based Paradigm for Emotional Support Conversations
di: Zhao, Yue, et al.
Pubblicazione: (2025)

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis
di: Lin, Teng, et al.
Pubblicazione: (2026)

AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
di: Wang, Yubo, et al.
Pubblicazione: (2025)

SSEmb: A Joint Structural and Semantic Embedding Framework for Mathematical Formula Retrieval
di: Li, Ruyin, et al.
Pubblicazione: (2025)

Making Language Model a Hierarchical Classifier
di: Wang, Yihong, et al.
Pubblicazione: (2025)

GORAG: Graph-based Online Retrieval Augmented Generation for Dynamic Few-shot Social Media Text Classification
di: Wang, Yubo, et al.
Pubblicazione: (2025)

NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
di: Li, Junchen, et al.
Pubblicazione: (2025)

Enhancing ID-based Recommendation with Large Language Models
di: Chen, Lei, et al.
Pubblicazione: (2024)

From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents
di: Liu, Jiahao, et al.
Pubblicazione: (2026)

Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
di: Gu, Qingqing, et al.
Pubblicazione: (2025)

Convert Language Model into a Value-based Strategic Planner
di: Wang, Xiaoyu, et al.
Pubblicazione: (2025)

BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling
di: Gong, Jiahui, et al.
Pubblicazione: (2025)

DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval
di: Sun, Duolin, et al.
Pubblicazione: (2025)

SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval
di: Rahmani, Hossein A., et al.
Pubblicazione: (2024)

RDRec: Rationale Distillation for LLM-based Recommendation
di: Wang, Xinfeng, et al.
Pubblicazione: (2024)

ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
di: Yang, Hao, et al.
Pubblicazione: (2026)

Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective
di: Song, Fangzhou, et al.
Pubblicazione: (2023)

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

GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
di: Luo, Linhao, et al.
Pubblicazione: (2025)

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
di: Tan, Jiejun, et al.
Pubblicazione: (2024)

Large Language Models for Information Retrieval: A Survey
di: Zhu, Yutao, et al.
Pubblicazione: (2023)

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

How Can Recommender Systems Benefit from Large Language Models: A Survey
di: Lin, Jianghao, et al.
Pubblicazione: (2023)

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval
di: Huang, Suyuan, et al.
Pubblicazione: (2024)

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation
di: Zheng, Bowen, et al.
Pubblicazione: (2025)

Can We Find the Code? An Empirical Study of Google Scholar's Code Retrieval
di: Chen, Shi-Shun
Pubblicazione: (2025)

Mine and Refine: Optimizing Graded Relevance in E-commerce Search Retrieval
di: Xi, Jiaqi, et al.
Pubblicazione: (2026)

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

Generative Dense Retrieval: Memory Can Be a Burden
di: Yuan, Peiwen, et al.
Pubblicazione: (2024)

Boosting Data Utilization for Multilingual Dense Retrieval
di: Huang, Chao, et al.
Pubblicazione: (2025)

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

Deep Class-guided Hashing for Multi-label Cross-modal Retrieval
di: Chen, Hao, et al.
Pubblicazione: (2024)

Optimizing Retrieval for RAG via Reinforcement Learning
di: Zhou, Jiawei, et al.
Pubblicazione: (2025)

Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework
di: Xi, Dongbo, et al.
Pubblicazione: (2024)

DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
di: Zeng, Xingyuan, et al.
Pubblicazione: (2026)