Cover Image

Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Salemi, Alireza, Zamani, Hamed
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
by: Salemi, Alireza, et al.
Published: (2024)

Evaluating Retrieval Quality in Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2024)

Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
by: Salemi, Alireza, et al.
Published: (2024)

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training
by: Salemi, Alireza, et al.
Published: (2025)

Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2025)

Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations
by: Salemi, Alireza, et al.
Published: (2026)

Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
by: Zamani, Hamed, et al.
Published: (2024)

Learning from Natural Language Feedback for Personalized Question Answering
by: Salemi, Alireza, et al.
Published: (2025)

Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering
by: Amirizaniani, Maryam, et al.
Published: (2026)

LaMP-QA: A Benchmark for Personalized Long-form Question Answering
by: Salemi, Alireza, et al.
Published: (2025)

Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
by: Kim, To Eun, et al.
Published: (2024)

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation
by: Salemi, Alireza, et al.
Published: (2025)

Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning
by: Samarinas, Chris, et al.
Published: (2026)

Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding
by: Zeng, Hansi, et al.
Published: (2024)

Accelerating Retrieval-Augmented Generation
by: Quinn, Derrick, et al.
Published: (2024)

Benchmarking Information Retrieval Models on Complex Retrieval Tasks
by: Killingback, Julian, et al.
Published: (2025)

Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
by: Tavakoli, Mohammad, et al.
Published: (2025)

Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking
by: Samarinas, Chris, et al.
Published: (2025)

Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback
by: Alam, Md Zarif Ul, et al.
Published: (2026)

Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
by: Salemi, Alireza, et al.
Published: (2024)

CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search
by: Zeng, Hansi, et al.
Published: (2026)

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
by: Salemi, Alireza, et al.
Published: (2025)

M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
by: Wang, Zheng, et al.
Published: (2024)

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)

Shifting from Ranking to Set Selection for Retrieval Augmented Generation
by: Lee, Dahyun, et al.
Published: (2025)

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
by: Abdallah, Abdelrahman, et al.
Published: (2025)

Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering
by: Salemi, Alireza, et al.
Published: (2025)

Evaluation of Agents under Simulated AI Marketplace Dynamics
by: Kim, To Eun, et al.
Published: (2026)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)

LTRR: Learning To Rank Retrievers for LLMs
by: Kim, To Eun, et al.
Published: (2025)

Inferential Question Answering
by: Mozafari, Jamshid, et al.
Published: (2026)

Uncertainty Quantification for Retrieval-Augmented Reasoning
by: Soudani, Heydar, et al.
Published: (2025)

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking
by: Feng, Jun, et al.
Published: (2026)

LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)

LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science
by: Salemi, Alireza, et al.
Published: (2025)

RRAML: Reinforced Retrieval Augmented Machine Learning
by: Bacciu, Andrea, et al.
Published: (2023)

Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
by: Hashemi, Helia, et al.
Published: (2025)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
by: Xu, Jian, et al.
Published: (2025)

Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)

Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
by: Wang, Zheng, et al.
Published: (2024)