:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sharifullin, Ruslan, Gorshkov, Maxim, Clay, Hannah
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2604.05125
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval
by: Paul, Shounak, et al.
Published: (2025)

Cluster-based Adaptive Retrieval: Dynamic Context Selection for RAG Applications
by: Xu, Yifan, et al.
Published: (2025)

SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
by: Yang, Yuxin, et al.
Published: (2026)

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)

Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems
by: Elahi, Ali, et al.
Published: (2024)

Neurosymbolic Retrievers for Retrieval-augmented Generation
by: Saxena, Yash, et al.
Published: (2026)

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
by: Zhang, Lingxi, et al.
Published: (2024)

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
by: Herlihy, Christine, et al.
Published: (2024)

OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources
by: Baek, Jinheon, et al.
Published: (2026)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
by: Zhang, Chenghao, et al.
Published: (2025)

Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA
by: Mathur, Saahil, et al.
Published: (2026)

SkillGraph: Graph Foundation Priors for LLM Agent Tool Sequence Recommendation
by: Liu, Hao, et al.
Published: (2026)

The Chronicles of RAG: The Retriever, the Chunk and the Generator
by: Finardi, Paulo, et al.
Published: (2024)

REST: Retrieval-Based Speculative Decoding
by: He, Zhenyu, et al.
Published: (2023)

Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval
by: Park, Sangwoo, et al.
Published: (2025)

CoRAG: Collaborative Retrieval-Augmented Generation
by: Muhamed, Aashiq, et al.
Published: (2025)

ReasonIR: Training Retrievers for Reasoning Tasks
by: Shao, Rulin, et al.
Published: (2025)

FIRE: Fact-checking with Iterative Retrieval and Verification
by: Xie, Zhuohan, et al.
Published: (2024)

Bottleneck-Minimal Indexing for Generative Document Retrieval
by: Du, Xin, et al.
Published: (2024)

IR2: Information Regularization for Information Retrieval
by: Wang, Jianyou, et al.
Published: (2024)

Agentic Entropy-Balanced Policy Optimization
by: Dong, Guanting, et al.
Published: (2025)

Beyond Relevance: Utility-Centric Retrieval in the LLM Era
by: Zhang, Hengran, et al.
Published: (2026)

Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
by: Jung, Dongwon, et al.
Published: (2024)

A Comparative Study of Specialized LLMs as Dense Retrievers
by: Zhang, Hengran, et al.
Published: (2025)

Retrieval meets Long Context Large Language Models
by: Xu, Peng, et al.
Published: (2023)

Towards a Robust Retrieval-Based Summarization System
by: Liu, Shengjie, et al.
Published: (2024)

Beyond Retrieval: Generating Narratives in Conversational Recommender Systems
by: Sayana, Krishna, et al.
Published: (2024)

Retrieval Augmented Generation for Domain-specific Question Answering
by: Sharma, Sanat, et al.
Published: (2024)

Optimization of Retrieval-Augmented Generation Context with Outlier Detection
by: Bulgakov, Vitaly
Published: (2024)

Policy-Gradient Training of Language Models for Ranking
by: Gao, Ge, et al.
Published: (2023)

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
by: Fang, Haoyang, et al.
Published: (2026)

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
by: Wang, Boxin, et al.
Published: (2023)

Reducing hallucination in structured outputs via Retrieval-Augmented Generation
by: Béchard, Patrice, et al.
Published: (2024)

Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms
by: Granata, Francesco, et al.
Published: (2025)

Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
by: Jedidi, Nour, et al.
Published: (2024)

NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
by: Zeighami, Sepanta, et al.
Published: (2024)

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
by: Liu, Yu-An, et al.
Published: (2024)

Enhancing Retrieval Performance: An Ensemble Approach For Hard Negative Mining
by: Meghwani, Hansa
Published: (2024)

ACER: Automatic Language Model Context Extension via Retrieval
by: Gao, Luyu, et al.
Published: (2024)

BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
by: Wang, Xiaoyue, et al.
Published: (2024)